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id: 90
unit: def monte_carlo()
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id: 93
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id: 98
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id: 99
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id: 100
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id: 103
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id: 105
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id: 106
unit: def setAutomatedMLWorkspace()
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id: 108
unit: def SubsampledHonestForest()
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id: 109
unit: def __cinit__()
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id: 110
unit: def mog_sample_model()
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id: 111
unit: def _pandas_summary()
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id: 112
unit: def _safe_result_index()
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id: 113
unit: def fit()
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id: 114
unit: def add_vlines()
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id: 117
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id: 118
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id: 119
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id: 120
unit: def plot_coverage()
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id: 121
unit: def monte_carlo_gcv()
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id: 122
unit: def exp()
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id: 123
unit: def __init__()
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id: 125
unit: def fit()
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id: 126
unit: def _get_weights()
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id: 127
unit: def _first_stage_clf()
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id: 128
unit: def __cinit__()
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id: 129
unit: def _nuisance_estimates()
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id: 130
unit: def adaptive_policy_effect()
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id: 132
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unit: def __init__()
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unit: def fit_nuisances()
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unit: def fit_final()
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id: 157
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unit: def _nuisance_estimates()
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id: 163
unit: def adaptive_policy_effect()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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unit: def _gen_data_with_policy()
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unit: def _gen_model_final()
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unit: def __init__()
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unit: def fit()
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id: 174
unit: def second_stage_parameter_estimator_gen()
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unit: def _get_theta_hat()
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unit: def _first_stage_reg()
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unit: def __cinit__()
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unit: def check_input_arrays()
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unit: def _nuisance_estimates()
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id: 180
unit: def _gen_data_with_policy()
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id: 181
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id: 182
unit: def response_loss_model()
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unit: def effect()
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unit: def _group_cross_fit()
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unit: def fit()
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unit: def __call__()
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id: 187
unit: def _gen_drpolicy_learner()
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unit: def render()
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id: 190
unit: def __init__()
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unit: def __init__()
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id: 194
unit: def get_metrics()
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unit: def __init__()
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unit: def shap_values()
file: econml/dr/_drlearner.py
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unit: def predict_alpha_and_jac()
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id: 200
unit: def oob_predict()
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id: 201
unit: def const_marginal_effect_inference()
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id: 202
unit: def const_marginal_effect_inference()
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id: 203
unit: def marginal_effect()
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id: 204
unit: def fit()
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unit: def __init__()
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id: 206
unit: def __init__()
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id: 207
unit: def __init__()
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id: 208
unit: def new_cov_matrix()
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id: 209
unit: def simulate_residuals()
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id: 210
unit: def score()
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unit: def fit()
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unit: def _expand_treatments()
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unit: def __init__()
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unit: def _cross_fit()
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unit: def _summarize()
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id: 218
unit: def save_plots()
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id: 219
unit: def _fit_single_estimator()
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id: 220
unit: def _gen_model_final()
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id: 221
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id: 223
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id: 224
unit: def _gen_model_final()
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id: 225
unit: def __init__()
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id: 226
unit: def _get_splits_from_weight_stratification()
file: econml/sklearn_extensions/model_selection.py
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id: 227
unit: def deprecated()
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id: 228
unit: def __init__()
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id: 229
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id: 230
unit: def policy_effect()
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id: 231
unit: def dml()
file: prototypes/orthogonal_forests/residualizer.py
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id: 232
unit: def _strata()
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id: 233
unit: def node_replacement_text()
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id: 234
unit: def __getattr__()
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id: 235
unit: def predict()
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id: 236
unit: def fit()
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id: 237
unit: def __init__()
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id: 238
unit: def score()
file: econml/iv/dr/_dr.py
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id: 239
unit: def _get_blb_indices()
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id: 240
unit: def fit()
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id: 241
unit: def render()
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id: 242
unit: def export_graphviz()
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id: 243
unit: def fit()
file: econml/score/rscorer.py
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id: 244
unit: def _whatif_inference()
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id: 245
unit: def _policy_tree_output()
file: econml/solutions/causal_analysis/_causal_analysis.py
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size: 16 LOC
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number of parameters: 9

id: 246
unit: def _heterogeneity_tree_output()
file: econml/solutions/causal_analysis/_causal_analysis.py
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id: 247
unit: def parse_final_model_params()
file: econml/utilities.py
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id: 248
unit: def as_latex()
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id: 249
unit: def exp()
file: prototypes/dynamic_dml/coverage_panel.py
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id: 250
unit: def fit_final()
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id: 251
unit: def get_file_groups()
file: prototypes/orthogonal_forests/comparison_plots.py
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number of parameters: 2

id: 252
unit: def fit_forest()
file: prototypes/orthogonal_forests/ortho_forest.py
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size: 16 LOC
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id: 253
unit: def _point_predict()
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size: 16 LOC
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id: 254
unit: def __init__()
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id: 255
unit: def _point_predict()
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id: 256
unit: def _get_weights()
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id: 257
unit: def _expand_treatments()
file: econml/_cate_estimator.py
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id: 258
unit: def _get_n_samples_subsample()
file: econml/_ensemble/_utilities.py
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id: 259
unit: def _accumulate_prediction_and_var()
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id: 261
unit: def predict()
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id: 262
unit: def score()
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id: 263
unit: def _check_inputs()
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id: 264
unit: def fit()
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id: 265
unit: def export_graphviz()
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id: 266
unit: def _weighted_check_cv()
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id: 267
unit: def fit()
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id: 268
unit: def _local_effect_inference()
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id: 269
unit: def _whatif_dict()
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id: 270
unit: def __init__()
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id: 271
unit: def predict_interval()
file: prototypes/dml_iv/utilities.py
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id: 272
unit: def _wrap_fit()
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id: 273
unit: def _fit_final()
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id: 274
unit: def _define_names()
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id: 275
unit: def effect_inference()
file: econml/dml/causal_forest.py
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id: 276
unit: def _get_params()
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id: 277
unit: def __setattr__()
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id: 278
unit: def fit()
file: econml/dr/_drlearner.py
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id: 279
unit: def const_marginal_effect_inference()
file: econml/inference/_inference.py
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id: 280
unit: def __init__()
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id: 281
unit: def __init__()
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id: 282
unit: def fit()
file: econml/iv/dr/_dr.py
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id: 283
unit: def mog_loss_model()
file: econml/iv/nnet/_deepiv.py
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id: 284
unit: def score()
file: econml/score/rscorer.py
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id: 285
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
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id: 286
unit: def __init__()
file: econml/sklearn_extensions/model_selection.py
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id: 287
unit: def check_high_dimensional()
file: econml/utilities.py
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id: 288
unit: def get_input_columns()
file: econml/utilities.py
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id: 289
unit: def fit_with_groups()
file: econml/utilities.py
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id: 290
unit: def _deprecate_positional()
file: econml/utilities.py
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number of parameters: 3

id: 291
unit: def monte_carlo_lasso()
file: monte_carlo_tests/monte_carlo_statsmodels.py
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size: 14 LOC
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number of parameters: 4

id: 292
unit: def _check_inputs()
file: prototypes/dml_iv/dr_iv.py
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id: 293
unit: def __init__()
file: prototypes/orthogonal_forests/causal_tree.py
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id: 294
unit: def fit()
file: prototypes/orthogonal_forests/hetero_dml.py
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id: 295
unit: def __init__()
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id: 296
unit: def _get_weights()
file: prototypes/orthogonal_forests/ortho_forest.py
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id: 297
unit: def effect()
file: econml/_cate_estimator.py
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id: 298
unit: def _validate_estimator()
file: econml/_ensemble/_ensemble.py
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id: 299
unit: def _accumulate_prediction_var()
file: econml/_ensemble/_utilities.py
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id: 300
unit: def refit_final()
file: econml/_ortho_learner.py
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id: 301
unit: def get_fill_color()
file: econml/_tree_exporter.py
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id: 302
unit: def render()
file: econml/_tree_exporter.py
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id: 303
unit: def fit()
file: econml/automated_ml/_automated_ml.py
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id: 304
unit: def _make_dot_exporter()
file: econml/cate_interpreter/_interpreters.py
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id: 305
unit: def _make_mpl_exporter()
file: econml/cate_interpreter/_interpreters.py
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number of parameters: 10

id: 306
unit: def get_prediction()
file: econml/data/dynamic_panel_dgp.py
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size: 13 LOC
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number of parameters: 9

id: 307
unit: def get_subsample_inds()
file: econml/grf/_base_grf.py
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id: 308
unit: def predict_full()
file: econml/grf/_base_grf.py
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id: 309
unit: def _get_alpha_and_pointJ()
file: econml/grf/classes.py
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id: 310
unit: def __init__()
file: econml/inference/_bootstrap.py
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id: 311
unit: def score()
file: econml/iv/dml/_dml.py
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id: 312
unit: def __init__()
file: econml/iv/dr/_dr.py
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id: 313
unit: def const_marginal_effect()
file: econml/metalearners/_metalearners.py
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id: 314
unit: def const_marginal_effect()
file: econml/metalearners/_metalearners.py
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size: 13 LOC
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id: 315
unit: def _fit_forest()
file: econml/orf/_ortho_forest.py
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id: 316
unit: def plot()
file: econml/policy/_drlearner.py
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id: 317
unit: def _check_input()
file: econml/sklearn_extensions/linear_model.py
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id: 318
unit: def check_models()
file: econml/utilities.py
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id: 319
unit: def fit()
file: econml/utilities.py
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id: 320
unit: def _agg_coverage()
file: monte_carlo_tests/monte_carlo_statsmodels.py
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size: 13 LOC
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number of parameters: 7

id: 321
unit: def monte_carlo_rf()
file: monte_carlo_tests/monte_carlo_statsmodels.py
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size: 13 LOC
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number of parameters: 3

id: 322
unit: def __init__()
file: prototypes/dml_iv/dml_iv.py
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size: 13 LOC
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number of parameters: 8

id: 323
unit: def refit_final()
file: prototypes/dml_iv/dr_iv.py
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size: 13 LOC
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number of parameters: 3

id: 324
unit: def _check_inputs()
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id: 325
unit: def _check_inputs()
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id: 326
unit: def fit()
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id: 327
unit: def fit()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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id: 328
unit: def merge_results()
file: prototypes/orthogonal_forests/comparison_plots.py
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id: 329
unit: def metrics_plots()
file: prototypes/orthogonal_forests/comparison_plots.py
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id: 330
unit: def fit()
file: prototypes/orthogonal_forests/hetero_dml.py
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id: 331
unit: def __init__()
file: econml/_tree_exporter.py
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id: 332
unit: def __init__()
file: econml/automated_ml/_automated_ml.py
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id: 333
unit: def plot_coefs()
file: econml/data/dynamic_panel_dgp.py
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number of parameters: 1

id: 334
unit: def score()
file: econml/dml/_rlearner.py
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id: 335
unit: def _combine()
file: econml/dml/dml.py
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id: 336
unit: def fit()
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id: 337
unit: def score()
file: econml/dr/_drlearner.py
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id: 338
unit: def predict()
file: econml/grf/_base_grf.py
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id: 339
unit: def intercept__interval()
file: econml/inference/_inference.py
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id: 340
unit: def conf_int_mean()
file: econml/inference/_inference.py
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id: 341
unit: def _get_stub_names()
file: econml/inference/_inference.py
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id: 342
unit: def fit()
file: econml/iv/dr/_dr.py
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id: 343
unit: def __init__()
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id: 344
unit: def fit()
file: econml/metalearners/_metalearners.py
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id: 345
unit: def fit()
file: econml/metalearners/_metalearners.py
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id: 346
unit: def __init__()
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id: 347
unit: def _predict()
file: econml/orf/_ortho_forest.py
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id: 348
unit: def const_marginal_effect_interval()
file: econml/orf/_ortho_forest.py
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size: 12 LOC
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id: 349
unit: def const_marginal_effect_inference()
file: econml/orf/_ortho_forest.py
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id: 350
unit: def fit()
file: econml/policy/_forest/_tree.py
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id: 351
unit: def _make_dot_exporter()
file: econml/policy/_forest/_tree.py
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id: 352
unit: def predict_interval()
file: econml/sklearn_extensions/linear_model.py
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id: 353
unit: def __init__()
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id: 354
unit: def intercept__interval()
file: econml/sklearn_extensions/linear_model.py
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number of parameters: 2

id: 355
unit: def _cohort_effect_inference()
file: econml/solutions/causal_analysis/_causal_analysis.py
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size: 12 LOC
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number of parameters: 2

id: 356
unit: def plot_heterogeneity_tree()
file: econml/solutions/causal_analysis/_causal_analysis.py
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id: 357
unit: def get_feature_names_or_default()
file: econml/utilities.py
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id: 358
unit: def fit()
file: econml/utilities.py
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id: 359
unit: def monte_carlo()
file: monte_carlo_tests/monte_carlo_statsmodels.py
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id: 360
unit: def fit()
file: prototypes/dml_iv/dml_ate_iv.py
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id: 361
unit: def __init__()
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id: 362
unit: def fit()
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id: 363
unit: def __init__()
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id: 364
unit: def __init__()
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id: 365
unit: def __init__()
file: econml/automated_ml/_automated_ml.py
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id: 366
unit: def ihdp_surface_B()
file: econml/data/dgps.py
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number of parameters: 1

id: 367
unit: def _process_ihdp_sim_data()
file: econml/data/dgps.py
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id: 368
unit: def generate_dgp()
file: econml/data/dynamic_panel_dgp.py
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id: 369
unit: def create_instance()
file: econml/data/dynamic_panel_dgp.py
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id: 370
unit: def _gen_model_t()
file: econml/dml/dml.py
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id: 371
unit: def predict()
file: econml/dr/_drlearner.py
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id: 372
unit: def _gen_ortho_learner_model_nuisance()
file: econml/dr/_drlearner.py
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number of parameters: 1

id: 373
unit: def _gen_model_t()
file: econml/dynamic/dml/_dml.py
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id: 374
unit: def feature_importances()
file: econml/grf/_base_grf.py
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number of parameters: 3

id: 375
unit: def predict_tree_average_full()
file: econml/grf/_base_grf.py
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number of parameters: 2

id: 376
unit: def __dealloc__()
file: econml/grf/_criterion.pyx
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id: 377
unit: def _predict()
file: econml/inference/_inference.py
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id: 378
unit: def const_marginal_effect_inference()
file: econml/inference/_inference.py
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id: 379
unit: def __init__()
file: econml/inference/_inference.py
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id: 380
unit: def population_summary()
file: econml/inference/_inference.py
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number of parameters: 7

id: 381
unit: def conf_int()
file: econml/inference/_inference.py
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id: 382
unit: def _combine()
file: econml/iv/dml/_dml.py
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id: 383
unit: def fit()
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id: 384
unit: def fit()
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id: 385
unit: def predict()
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id: 386
unit: def _gen_model_t_xw()
file: econml/iv/dml/_dml.py
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number of parameters: 1

id: 387
unit: def _gen_model_t_xwz()
file: econml/iv/dml/_dml.py
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size: 11 LOC
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number of parameters: 1

id: 388
unit: def _gen_model_t_xw()
file: econml/iv/dml/_dml.py
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id: 389
unit: def _gen_model_t_xwz()
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id: 415
unit: def shap_values()
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unit: def __init__()
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unit: def _make_mpl_exporter()
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id: 419
unit: def score()
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id: 420
unit: def _combine()
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id: 421
unit: def const_marginal_effect_inference()
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id: 422
unit: def _gen_model_t()
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id: 423
unit: def ate__inference()
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unit: def att__inference()
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unit: def score()
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unit: def _gen_model_final()
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unit: def _gen_model_final()
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unit: def _prefit()
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unit: def fit()
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unit: def coef__interval()
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id: 434
unit: def shap_values()
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id: 435
unit: def _gen_model_final()
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unit: def __init__()
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unit: def __init__()
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unit: def _check_treatment()
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unit: def __init__()
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unit: def _get_coef_correction()
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id: 443
unit: def coef__interval()
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id: 444
unit: def prediction_stderr()
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id: 445
unit: def _get_default_specific_insights()
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id: 446
unit: def fit()
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id: 447
unit: def get_feature_names()
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id: 448
unit: def _sanitize()
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id: 449
unit: def _make_accessor()
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id: 450
unit: def typical_treatment_value()
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id: 451
unit: def __getstate__()
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id: 452
unit: def _validate_X_predict()
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id: 453
unit: def _safe_norm_ppf()
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id: 454
unit: def reshape_arrays_2dim()
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id: 455
unit: def gen_data()
file: prototypes/dml_iv/coverage_experiment.py
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id: 456
unit: def __init__()
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id: 457
unit: def _get_split_enum()
file: prototypes/dml_iv/dr_iv.py
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id: 458
unit: def __init__()
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id: 459
unit: def estimate_leafs()
file: prototypes/orthogonal_forests/causal_tree.py
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id: 460
unit: def _predict()
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unit: def _predict()
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unit: def _get_inference()
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id: 463
unit: def _defer_to_inference()
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unit: def _make_estimator()
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unit: def _check_fitted_dims_w_z()
file: econml/_ortho_learner.py
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id: 466
unit: def node_to_str()
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unit: def __init__()
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unit: def fit()
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id: 469
unit: def ihdp_surface_A()
file: econml/data/dgps.py
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unit: def predict()
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unit: def fit()
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id: 473
unit: def _get_groups_period_filter()
file: econml/dynamic/dml/_dml.py
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id: 474
unit: def decision_path()
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unit: def fit()
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unit: def fit()
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id: 477
unit: def effect_inference()
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id: 478
unit: def _expand_outputs()
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id: 479
unit: def fit()
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id: 480
unit: def score()
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id: 481
unit: def residuals_()
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unit: def fit()
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id: 483
unit: def effect()
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id: 484
unit: def const_marginal_effect()
file: econml/metalearners/_metalearners.py
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id: 485
unit: def const_marginal_effect()
file: econml/metalearners/_metalearners.py
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id: 486
unit: def decision_path()
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id: 487
unit: def _get_optimal_alpha()
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id: 488
unit: def _get_unscaled_coef_var()
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id: 489
unit: def prediction_stderr()
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id: 490
unit: def _set_attribute()
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id: 491
unit: def _final_stage()
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id: 492
unit: def __cinit__()
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id: 493
unit: def get_train_test_split_inds()
file: econml/tree/_tree_classes.py
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id: 494
unit: def tocoo()
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id: 495
unit: def reshape_Y_T()
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id: 496
unit: def __init__()
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id: 497
unit: def _append_coverage()
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id: 498
unit: def predict()
file: prototypes/dml_iv/coverage_experiment.py
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id: 499
unit: def dgp_binary()
file: prototypes/dml_iv/coverage_experiment.py
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id: 500
unit: def predict()
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id: 501
unit: def coef_()
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id: 502
unit: def __init__()
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id: 503
unit: def _set_input_names()
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id: 504
unit: def _accumulate_prediction()
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id: 505
unit: def _accumulate_oob_preds()
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id: 506
unit: def export()
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id: 507
unit: def get_fill_color()
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id: 508
unit: def plot()
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id: 510
unit: def residuals_()
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id: 511
unit: def ate_()
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id: 512
unit: def ate_stderr_()
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unit: def att_()
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id: 514
unit: def att_stderr_()
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id: 515
unit: def fit()
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id: 516
unit: def shap_values()
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id: 517
unit: def predict()
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id: 518
unit: def cate_feature_names()
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id: 519
unit: def shap_values()
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id: 520
unit: def cate_feature_names()
file: econml/dr/_drlearner.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 521
unit: def fit()
file: econml/dynamic/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 10

id: 522
unit: def _get_coef_()
file: econml/dynamic/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 523
unit: def cate_feature_names()
file: econml/dynamic/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 524
unit: def residuals_()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 525
unit: def _check_projector()
file: econml/grf/_base_grf.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 526
unit: def predict()
file: econml/grf/classes.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 527
unit: def __stratified_indices()
file: econml/inference/_bootstrap.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 528
unit: def conf_int_point()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 529
unit: def __init__()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 530
unit: def cate_feature_names()
file: econml/iv/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 531
unit: def residuals_()
file: econml/iv/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 532
unit: def residuals_()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 533
unit: def cate_feature_names()
file: econml/iv/dml/_dml.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 534
unit: def shap_values()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 535
unit: def cate_feature_names()
file: econml/iv/dr/_dr.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 536
unit: def shap_values()
file: econml/iv/dr/_dr.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 537
unit: def fit()
file: econml/iv/dr/_dr.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 8

id: 538
unit: def shap_values()
file: econml/metalearners/_metalearners.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 539
unit: def print_tree_rec()
file: econml/orf/_causal_tree.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 540
unit: def _group_predict()
file: econml/orf/_ortho_forest.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 541
unit: def __init__()
file: econml/orf/_ortho_forest.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 542
unit: def _DMLOrthoForest_parameter_estimator_func()
file: econml/orf/_ortho_forest.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 543
unit: def moment_and_mean_gradient_estimator_func()
file: econml/orf/_ortho_forest.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 6

id: 544
unit: def policy_treatment_names()
file: econml/policy/_drlearner.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 545
unit: def prediction_stderr()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 546
unit: def intercept__interval()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 547
unit: def __dealloc__()
file: econml/tree/_splitter.pyx
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 548
unit: def _apply()
file: econml/utilities.py
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end line: 0
size: 8 LOC
McCabe index: 8
number of parameters: 2

id: 549
unit: def __init__()
file: econml/utilities.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 550
unit: def add_extra_txt()
file: econml/utilities.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 551
unit: def __init__()
file: prototypes/dml_iv/dml_ate_iv.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 7

id: 552
unit: def __init__()
file: prototypes/dml_iv/dml_ate_iv.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 7

id: 553
unit: def effect()
file: prototypes/dml_iv/dml_ate_iv.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 554
unit: def refit_final()
file: prototypes/dml_iv/dml_iv.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 555
unit: def fit()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 556
unit: def print_tree_rec()
file: prototypes/orthogonal_forests/causal_tree.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 557
unit: def __init__()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 558
unit: def __init__()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 559
unit: def intercept_()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 560
unit: def _set_random_states()
file: econml/_ensemble/_ensemble.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 561
unit: def _partition_estimators()
file: econml/_ensemble/_ensemble.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 562
unit: def _check_input_dims()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 6
number of parameters: 7

id: 563
unit: def const_marginal_effect()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 564
unit: def static_policy_effect()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 565
unit: def adaptive_policy_effect()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 566
unit: def hetero_effect_fn()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 567
unit: def observational_data()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 568
unit: def _ate_and_stderr()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 569
unit: def _gen_model_y()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 570
unit: def _get_inference_options()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 571
unit: def model_cate()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 572
unit: def fit()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 10

id: 573
unit: def _get_cov()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 574
unit: def _gen_model_y()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 575
unit: def _gen_ortho_learner_model_final()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 576
unit: def intercept__interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 577
unit: def _reshape_array()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 578
unit: def scale()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 579
unit: def predict()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 580
unit: def _gen_model_y_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 581
unit: def _gen_model_y_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 582
unit: def _effect_estimate()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 583
unit: def fit()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 11

id: 584
unit: def mog_model()
file: econml/iv/nnet/_deepiv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 585
unit: def __init__()
file: econml/orf/_causal_tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 586
unit: def find_tree_node()
file: econml/orf/_causal_tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 587
unit: def _DMLOrthoForest_moment_and_mean_gradient_estimator_func()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 6

id: 588
unit: def _DMLOrthoForest_get_conforming_residuals()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 589
unit: def _effect_inference_helper()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 6
number of parameters: 4

id: 590
unit: def effect_interval()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 591
unit: def effect_inference()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 592
unit: def predict()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 593
unit: def predict_proba()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 594
unit: def best_model()
file: econml/score/rscorer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 595
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 10

id: 596
unit: def __getattr__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 597
unit: def _get_data_causal_insights_keys()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 598
unit: def transform()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 599
unit: def _point_props()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 600
unit: def _summary_props()
file: econml/solutions/causal_analysis/_causal_analysis.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 601
unit: def todense()
file: econml/utilities.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 602
unit: def transpose()
file: econml/utilities.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 603
unit: def _weighted_inputs()
file: econml/utilities.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 604
unit: def predict()
file: econml/utilities.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 605
unit: def refit_final()
file: prototypes/dml_iv/dml_iv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 606
unit: def __init__()
file: prototypes/dml_iv/xgb_utilities.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 607
unit: def static_policy_effect()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 608
unit: def adaptive_policy_effect()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 609
unit: def hetero_effect_fn()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 610
unit: def observational_data()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 611
unit: def policy_effect_interval()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 612
unit: def find_tree_node()
file: prototypes/orthogonal_forests/causal_tree.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 613
unit: def __init__()
file: prototypes/orthogonal_forests/hetero_dml.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 614
unit: def piecewise_linear_te()
file: prototypes/orthogonal_forests/monte_carlo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 615
unit: def step_te()
file: prototypes/orthogonal_forests/monte_carlo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 616
unit: def polynomial_te()
file: prototypes/orthogonal_forests/monte_carlo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 617
unit: def _get_weighted_model()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 618
unit: def _get_weighted_pipeline()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 619
unit: def _fit()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 620
unit: def _prefit()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 5

id: 621
unit: def cate_feature_names()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 622
unit: def cate_output_names()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 623
unit: def cate_treatment_names()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 624
unit: def marginal_effect_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 5

id: 625
unit: def marginal_effect_inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 626
unit: def cate_treatment_names()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 627
unit: def intercept_()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 628
unit: def __init__()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 629
unit: def __init__()
file: econml/automated_ml/_automated_ml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 630
unit: def get_params()
file: econml/automated_ml/_automated_ml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 631
unit: def linear_approximation()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 632
unit: def simulate_residuals_all()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 633
unit: def fit()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 11

id: 634
unit: def fit()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 12

id: 635
unit: def __init__()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 636
unit: def fit()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 4

id: 637
unit: def _gen_model_y()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 638
unit: def __init__()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 639
unit: def predict()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 3

id: 640
unit: def fit()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 12

id: 641
unit: def fit()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 12

id: 642
unit: def fit()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 643
unit: def fit()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 12

id: 644
unit: def predict_with_res()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 645
unit: def cate_treatment_names()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 646
unit: def apply()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 647
unit: def _get_n_outputs_decomposition()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 648
unit: def _get_n_outputs_decomposition()
file: econml/grf/classes.py
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id: 650
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id: 654
unit: def _expand_outputs()
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id: 655
unit: def stderr_mean()
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id: 656
unit: def fit()
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id: 657
unit: def intercept_()
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id: 658
unit: def fit()
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id: 659
unit: def _zero_grad()
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id: 660
unit: def __init__()
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id: 661
unit: def __init__()
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McCabe index: 1
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id: 662
unit: def _fit_weighted_pipeline()
file: econml/metalearners/_metalearners.py
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McCabe index: 2
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id: 663
unit: def _combine()
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McCabe index: 3
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id: 664
unit: def parameter_estimator_func()
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id: 665
unit: def fit()
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id: 666
unit: def apply()
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id: 667
unit: def const_marginal_effect()
file: econml/score/ensemble_cate.py
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id: 668
unit: def weights()
file: econml/score/ensemble_cate.py
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id: 669
unit: def fit()
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id: 671
unit: def intercept__interval()
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id: 672
unit: def predict()
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id: 673
unit: def _get_folds_from_splits()
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McCabe index: 2
number of parameters: 3

id: 674
unit: def __dealloc__()
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McCabe index: 2
number of parameters: 1

id: 675
unit: def reshape()
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McCabe index: 2
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id: 676
unit: def check_inputs()
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id: 677
unit: def broadcast_unit_treatments()
file: econml/utilities.py
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McCabe index: 2
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id: 678
unit: def reshape_treatmentwise_effects()
file: econml/utilities.py
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id: 679
unit: def transpose_dictionary()
file: econml/utilities.py
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McCabe index: 3
number of parameters: 1

id: 680
unit: def fit()
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McCabe index: 2
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id: 681
unit: def fit()
file: prototypes/dml_iv/coverage_experiment.py
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McCabe index: 1
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id: 682
unit: def fit()
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id: 683
unit: def fit()
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McCabe index: 2
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id: 684
unit: def __init__()
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McCabe index: 1
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id: 685
unit: def predict()
file: prototypes/dml_iv/utilities.py
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McCabe index: 2
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id: 686
unit: def __init__()
file: prototypes/dml_iv/utilities.py
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id: 687
unit: def fit()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 1
number of parameters: 5

id: 688
unit: def __getattr__()
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McCabe index: 2
number of parameters: 2

id: 689
unit: def shap_values()
file: econml/_cate_estimator.py
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size: 5 LOC
McCabe index: 1
number of parameters: 7

id: 690
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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id: 691
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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McCabe index: 1
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id: 692
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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McCabe index: 1
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id: 693
unit: def coef_()
file: econml/_cate_estimator.py
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McCabe index: 1
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id: 694
unit: def _get_inference_options()
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id: 695
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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McCabe index: 1
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id: 696
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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id: 697
unit: def feature_importances_()
file: econml/_cate_estimator.py
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McCabe index: 1
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id: 698
unit: def __init__()
file: econml/_ensemble/_ensemble.py
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McCabe index: 1
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id: 699
unit: def _check_fitted_dims()
file: econml/_ortho_learner.py
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McCabe index: 2
number of parameters: 2

id: 700
unit: def _prefit()
file: econml/_ortho_learner.py
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size: 5 LOC
McCabe index: 2
number of parameters: 6

id: 701
unit: def tail()
file: econml/_tree_exporter.py
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number of parameters: 1

id: 702
unit: def _get_automated_ml_model()
file: econml/automated_ml/_automated_ml.py
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size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 703
unit: def __init__()
file: econml/data/dynamic_panel_dgp.py
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McCabe index: 1
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id: 704
unit: def fit()
file: econml/dml/_rlearner.py
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McCabe index: 1
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id: 705
unit: def _get_inference_options()
file: econml/dml/causal_forest.py
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id: 706
unit: def tunable_params()
file: econml/dml/causal_forest.py
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McCabe index: 1
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id: 707
unit: def fit()
file: econml/dml/dml.py
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id: 708
unit: def __init__()
file: econml/dr/_drlearner.py
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id: 709
unit: def fit()
file: econml/dr/_drlearner.py
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id: 710
unit: def fit()
file: econml/dr/_drlearner.py
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id: 711
unit: def _gen_ortho_learner_model_nuisance()
file: econml/dynamic/dml/_dml.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 712
unit: def predict_tree_average()
file: econml/grf/_base_grf.py
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McCabe index: 2
number of parameters: 2

id: 713
unit: def predict()
file: econml/grf/_base_grftree.py
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id: 714
unit: def predict_full()
file: econml/grf/_base_grftree.py
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McCabe index: 1
number of parameters: 3

id: 715
unit: def __init__()
file: econml/inference/_inference.py
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unit: def fit()
file: econml/inference/_inference.py
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id: 717
unit: def fit()
file: econml/inference/_inference.py
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id: 718
unit: def prefit()
file: econml/inference/_inference.py
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McCabe index: 1
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id: 719
unit: def coef__interval()
file: econml/inference/_inference.py
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McCabe index: 1
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id: 720
unit: def population_summary()
file: econml/inference/_inference.py
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McCabe index: 1
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id: 721
unit: def percentile_point()
file: econml/inference/_inference.py
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McCabe index: 2
number of parameters: 3

id: 722
unit: def _combine()
file: econml/iv/dml/_dml.py
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id: 723
unit: def _combine()
file: econml/iv/dml/_dml.py
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id: 724
unit: def fit()
file: econml/iv/dml/_dml.py
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McCabe index: 1
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id: 725
unit: def _gen_ortho_learner_model_final()
file: econml/iv/dml/_dml.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 726
unit: def _gen_ortho_learner_model_final()
file: econml/iv/dml/_dml.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 727
unit: def _combine()
file: econml/iv/dr/_dr.py
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McCabe index: 4
number of parameters: 4

id: 728
unit: def fit()
file: econml/iv/dr/_dr.py
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McCabe index: 2
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id: 729
unit: def __init__()
file: econml/iv/dr/_dr.py
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McCabe index: 1
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id: 730
unit: def _combine()
file: econml/iv/dr/_dr.py
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McCabe index: 4
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id: 731
unit: def fit()
file: econml/iv/dr/_dr.py
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id: 732
unit: def _column_feats()
file: econml/iv/sieve/_tsls.py
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McCabe index: 1
number of parameters: 3

id: 733
unit: def _get_inference_options()
file: econml/orf/_ortho_forest.py
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McCabe index: 1
number of parameters: 1

id: 734
unit: def predict_proba()
file: econml/policy/_drlearner.py
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McCabe index: 2
number of parameters: 2

id: 735
unit: def get_subsample_inds()
file: econml/policy/_forest/_forest.py
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McCabe index: 2
number of parameters: 1

id: 736
unit: def predict()
file: econml/policy/_forest/_tree.py
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McCabe index: 1
number of parameters: 3

id: 737
unit: def predict_value()
file: econml/policy/_forest/_tree.py
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McCabe index: 1
number of parameters: 3

id: 738
unit: def coef__interval()
file: econml/sklearn_extensions/linear_model.py
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id: 739
unit: def predict()
file: econml/sklearn_extensions/linear_model.py
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id: 740
unit: def __getattr__()
file: econml/sklearn_extensions/linear_model.py
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id: 741
unit: def __setattr__()
file: econml/sklearn_extensions/linear_model.py
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id: 742
unit: def predict()
file: econml/sklearn_extensions/linear_model.py
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id: 743
unit: def __setattr__()
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id: 744
unit: def _param_stderr()
file: econml/sklearn_extensions/linear_model.py
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id: 745
unit: def coef__interval()
file: econml/sklearn_extensions/linear_model.py
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id: 746
unit: def predict_interval()
file: econml/sklearn_extensions/linear_model.py
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number of parameters: 3

id: 747
unit: def _check_input()
file: econml/sklearn_extensions/linear_model.py
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number of parameters: 3

id: 748
unit: def __init__()
file: econml/sklearn_extensions/model_selection.py
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McCabe index: 1
number of parameters: 5

id: 749
unit: def _get_metadata_causal_insights_keys()
file: econml/solutions/causal_analysis/_causal_analysis.py
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number of parameters: 0

id: 750
unit: def _get_column_causal_insights_keys()
file: econml/solutions/causal_analysis/_causal_analysis.py
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number of parameters: 0

id: 751
unit: def __init__()
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id: 752
unit: def _format_col()
file: econml/solutions/causal_analysis/_causal_analysis.py
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McCabe index: 2
number of parameters: 2

id: 753
unit: def _individualized_policy_dict()
file: econml/solutions/causal_analysis/_causal_analysis.py
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McCabe index: 1
number of parameters: 7

id: 754
unit: def _sampled_inputs()
file: econml/utilities.py
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id: 755
unit: def predict()
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id: 756
unit: def fit()
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id: 757
unit: def fit()
file: econml/utilities.py
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id: 758
unit: def fit()
file: prototypes/dml_iv/deep_dr_iv.py
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McCabe index: 2
number of parameters: 4

id: 759
unit: def effect()
file: prototypes/dml_iv/dml_ate_iv.py
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number of parameters: 2

id: 760
unit: def effect()
file: prototypes/dml_iv/dml_ate_iv.py
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McCabe index: 2
number of parameters: 2

id: 761
unit: def fitted_nuisances()
file: prototypes/dml_iv/dr_iv.py
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McCabe index: 2
number of parameters: 1

id: 762
unit: def __init__()
file: prototypes/dml_iv/utilities.py
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McCabe index: 3
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id: 763
unit: def __deepcopy__()
file: prototypes/dml_iv/utilities.py
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McCabe index: 2
number of parameters: 2

id: 764
unit: def __init__()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
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McCabe index: 1
number of parameters: 4

id: 765
unit: def create_splits()
file: prototypes/orthogonal_forests/causal_tree.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 766
unit: def has_plot_controls()
file: prototypes/orthogonal_forests/comparison_plots.py
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McCabe index: 3
number of parameters: 2

id: 767
unit: def get_file_key()
file: prototypes/orthogonal_forests/comparison_plots.py
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McCabe index: 2
number of parameters: 1

id: 768
unit: def doublez_te()
file: prototypes/orthogonal_forests/monte_carlo.py
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McCabe index: 2
number of parameters: 1

id: 769
unit: def _build_tree_in_parallel()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 1
number of parameters: 9

id: 770
unit: def predict()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 5
number of parameters: 2

id: 771
unit: def predict()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 2
number of parameters: 2

id: 772
unit: def predict_interval()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 2
number of parameters: 4

id: 773
unit: def fit()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 1
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id: 774
unit: def _fit_weighted_pipeline()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 2
number of parameters: 5

id: 775
unit: def _sampled_inputs()
file: prototypes/orthogonal_forests/ortho_forest.py
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McCabe index: 1
number of parameters: 4

id: 776
unit: def exclude_entity()
file: doc/conf.py
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McCabe index: 3
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id: 777
unit: def marginal_effect()
file: econml/_cate_estimator.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 778
unit: def _postfit()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 5

id: 779
unit: def _set_transformed_treatment_names()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 780
unit: def _get_inference_options()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 781
unit: def coef_()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 782
unit: def _get_inference_options()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 783
unit: def const_marginal_effect_interval()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 784
unit: def const_marginal_effect_inference()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 785
unit: def effect_interval()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 6

id: 786
unit: def effect_inference()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 787
unit: def ortho_learner_model_final_()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 788
unit: def models_nuisance_()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 789
unit: def _make_dot_exporter()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 12

id: 790
unit: def addAutomatedML()
file: econml/automated_ml/_automated_ml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 791
unit: def static_policy_data()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 792
unit: def plot_cov()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 793
unit: def __init__()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 794
unit: def _get_inference_options()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 795
unit: def refute_estimate()
file: econml/dowhy.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 796
unit: def __init__()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 797
unit: def multitask_model_cate()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 798
unit: def __init__()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 799
unit: def _get_shape_formatter()
file: econml/dynamic/dml/_dml.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 3

id: 800
unit: def __init__()
file: econml/dynamic/dml/_dml.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 801
unit: def _strata()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 12

id: 802
unit: def predict_projection_and_var()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 803
unit: def predict_projection()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 804
unit: def predict_projection_var()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 805
unit: def init()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 806
unit: def predict_alpha_and_jac()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 807
unit: def feature_importances()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 808
unit: def feature_importances()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 809
unit: def _get_alpha_and_pointJ()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 4

id: 810
unit: def var()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 811
unit: def zstat()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 812
unit: def __init__()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 10

id: 813
unit: def conf_int()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 814
unit: def pvalue()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 815
unit: def translate()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 816
unit: def scale()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 817
unit: def zstat()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 818
unit: def pvalue()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 819
unit: def _format_res()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 820
unit: def models_z_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 821
unit: def models_t_xwz()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 822
unit: def nuisance_scores_z_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 823
unit: def nuisance_scores_t_xwz()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 824
unit: def __init__()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 825
unit: def coef_()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 826
unit: def _get_inference_options()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 827
unit: def _gen_model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 828
unit: def models_z_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 829
unit: def models_t_xwz()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 830
unit: def nuisance_scores_z_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 831
unit: def nuisance_scores_t_xwz()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 832
unit: def effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 833
unit: def _gen_model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 834
unit: def __init__()
file: econml/iv/sieve/_tsls.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 835
unit: def _build_tree_in_parallel()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 8

id: 836
unit: def const_marginal_effect()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 837
unit: def const_marginal_effect()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 838
unit: def fit()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 8

id: 839
unit: def feature_importances()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 840
unit: def cate_models()
file: econml/score/ensemble_cate.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 2

id: 841
unit: def get_n_splits()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 5

id: 842
unit: def split()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 5

id: 843
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 844
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 845
unit: def score()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 846
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 847
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 848
unit: def cohort_causal_effect()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 849
unit: def __dealloc__()
file: econml/tree/_criterion.pyx
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 850
unit: def __get__()
file: econml/tree/_tree.pyx
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 851
unit: def __get__()
file: econml/tree/_tree.pyx
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 852
unit: def __get__()
file: econml/tree/_tree.pyx
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 853
unit: def apply()
file: econml/tree/_tree_classes.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 854
unit: def __cinit__()
file: econml/tree/_utils.pyx
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 855
unit: def tensordot()
file: econml/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 856
unit: def stack()
file: econml/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 857
unit: def concatenate()
file: econml/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 858
unit: def fit()
file: econml/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 4

id: 859
unit: def __init__()
file: prototypes/dml_iv/coverage_experiment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 860
unit: def __deepcopy__()
file: prototypes/dml_iv/deep_dr_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 861
unit: def fitted_nuisances()
file: prototypes/dml_iv/dml_ate_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 862
unit: def fitted_nuisances()
file: prototypes/dml_iv/dml_ate_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 863
unit: def fitted_nuisances()
file: prototypes/dml_iv/dml_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 864
unit: def coef_()
file: prototypes/dml_iv/dr_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 865
unit: def intercept_()
file: prototypes/dml_iv/dr_iv.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 866
unit: def __init__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 867
unit: def predict()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 868
unit: def coef_()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 869
unit: def intercept_()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 870
unit: def __init__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 871
unit: def __getattr__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 872
unit: def __getattr__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 873
unit: def coef_()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 874
unit: def intercept_()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 875
unit: def __getattr__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 876
unit: def __deepcopy__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 877
unit: def __getattr__()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 878
unit: def __getattr__()
file: prototypes/dml_iv/xgb_utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 879
unit: def __deepcopy__()
file: prototypes/dml_iv/xgb_utilities.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 880
unit: def static_policy_data()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 881
unit: def param_interval()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 882
unit: def param_interval()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 883
unit: def __init__()
file: prototypes/orthogonal_forests/hetero_dml.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 884
unit: def _weighted_inputs()
file: prototypes/orthogonal_forests/ortho_forest.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 885
unit: def setup()
file: doc/conf.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 886
unit: def _prefit()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 5

id: 887
unit: def __init__()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 888
unit: def __init__()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 889
unit: def export()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 890
unit: def __init__()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 891
unit: def _make_mpl_exporter()
file: econml/_tree_exporter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 10

id: 892
unit: def __init__()
file: econml/automated_ml/_automated_ml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 893
unit: def treat()
file: econml/cate_interpreter/_interpreters.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 894
unit: def __init__()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 895
unit: def prefit()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 896
unit: def _gen_rlearner_model_final()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 897
unit: def feature_importances()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 898
unit: def model_final()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 899
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 900
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 901
unit: def featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 902
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 903
unit: def _gen_model_y()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 904
unit: def _gen_model_t()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 905
unit: def refit_final()
file: econml/dowhy.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 906
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 907
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 908
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 909
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 910
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 911
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 912
unit: def __init__()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 913
unit: def _postfit()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 5

id: 914
unit: def model_final()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 915
unit: def _validate_X_predict()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 916
unit: def predict_interval()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 917
unit: def fit()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 8

id: 918
unit: def predict_moment()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 919
unit: def predict_and_var()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 920
unit: def predict_projection_and_var()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 921
unit: def oob_predict()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 922
unit: def _get_alpha_and_pointJ()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 923
unit: def prefit()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 924
unit: def prefit()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 925
unit: def prefit()
file: econml/inference/_inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 926
unit: def translate()
file: econml/inference/_inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 927
unit: def scale()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 928
unit: def _repr_html_()
file: econml/inference/_inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 929
unit: def summary()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 7

id: 930
unit: def model_final()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 931
unit: def predict()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 932
unit: def _gen_ortho_learner_model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 933
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 934
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 935
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 936
unit: def predict_proba()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 937
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 938
unit: def marginal_effect()
file: econml/iv/nnet/_deepiv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 939
unit: def predict()
file: econml/iv/nnet/_deepiv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 940
unit: def feature_importances()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 941
unit: def _validate_X_predict()
file: econml/policy/_forest/_forest.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 942
unit: def __init__()
file: econml/score/ensemble_cate.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 943
unit: def effect()
file: econml/score/ensemble_cate.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 5

id: 944
unit: def marginal_effect()
file: econml/score/ensemble_cate.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 945
unit: def fit()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 946
unit: def fit()
file: econml/sklearn_extensions/linear_model.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 947
unit: def predict()
file: econml/sklearn_extensions/linear_model.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 948
unit: def __init__()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 949
unit: def global_causal_effect()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 950
unit: def _global_causal_effect_dict()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 951
unit: def _cohort_causal_effect_dict()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 952
unit: def local_causal_effect()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 953
unit: def _local_causal_effect_dict()
file: econml/solutions/causal_analysis/_causal_analysis.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 954
unit: def __reduce__()
file: econml/tree/_criterion.pyx
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 955
unit: def __reduce__()
file: econml/tree/_tree.pyx
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 956
unit: def get_depth()
file: econml/tree/_tree_classes.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 957
unit: def get_n_leaves()
file: econml/tree/_tree_classes.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 958
unit: def decision_path()
file: econml/tree/_tree_classes.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 959
unit: def inverse_onehot()
file: econml/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 960
unit: def __init__()
file: econml/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 961
unit: def __init__()
file: econml/utilities.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 962
unit: def _repr_html_()
file: econml/utilities.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 963
unit: def add_table()
file: econml/utilities.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 964
unit: def __init__()
file: econml/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 965
unit: def __init__()
file: econml/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 966
unit: def predict()
file: econml/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 967
unit: def fit()
file: prototypes/dml_iv/coverage_experiment.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 968
unit: def normal_effect_interval()
file: prototypes/dml_iv/dml_ate_iv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 969
unit: def normal_effect_interval()
file: prototypes/dml_iv/dml_ate_iv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 970
unit: def __init__()
file: prototypes/dml_iv/dml_ate_iv.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 971
unit: def __init__()
file: prototypes/dml_iv/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 972
unit: def fit()
file: prototypes/dml_iv/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 973
unit: def fit()
file: prototypes/dml_iv/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 974
unit: def __init__()
file: prototypes/dml_iv/utilities.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 975
unit: def fit()
file: prototypes/dml_iv/utilities.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 976
unit: def get_results()
file: prototypes/orthogonal_forests/comparison_plots.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 5
number of parameters: 2

id: 977
unit: def get_r2()
file: prototypes/orthogonal_forests/comparison_plots.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 978
unit: def cross_product()
file: prototypes/orthogonal_forests/hetero_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 979
unit: def predict()
file: prototypes/orthogonal_forests/hetero_dml.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 980
unit: def _get_inference_options()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 981
unit: def _strata()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 982
unit: def _postfit()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 983
unit: def fit()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 984
unit: def effect()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 985
unit: def marginal_effect()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 986
unit: def ate()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 987
unit: def marginal_ate()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 988
unit: def _expand_treatments()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 989
unit: def effect_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 990
unit: def effect_inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 991
unit: def marginal_effect_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 992
unit: def marginal_effect_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 993
unit: def ate_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 994
unit: def ate_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 995
unit: def marginal_ate_interval()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 996
unit: def marginal_ate_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 997
unit: def dowhy()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 998
unit: def const_marginal_effect()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 999
unit: def const_marginal_effect_interval()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1000
unit: def const_marginal_effect_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1001
unit: def const_marginal_ate()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1002
unit: def const_marginal_ate_interval()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1003
unit: def const_marginal_ate_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1004
unit: def marginal_ate()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1005
unit: def marginal_ate_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1006
unit: def marginal_ate_inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1007
unit: def effect()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1008
unit: def ate()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1009
unit: def ate_interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1010
unit: def ate_inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1011
unit: def bias_part_of_coef()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1012
unit: def coef__interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1013
unit: def coef__inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1014
unit: def intercept__interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1015
unit: def intercept__inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1016
unit: def feature_importances_()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1017
unit: def coef__interval()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1018
unit: def coef__inference()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1019
unit: def intercept__interval()
file: econml/_cate_estimator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1020
unit: def intercept__inference()
file: econml/_cate_estimator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1021
unit: def __len__()
file: econml/_ensemble/_ensemble.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1022
unit: def __getitem__()
file: econml/_ensemble/_ensemble.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1023
unit: def __iter__()
file: econml/_ensemble/_ensemble.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1024
unit: def _gen_ortho_learner_model_nuisance()
file: econml/_ortho_learner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1025
unit: def _gen_ortho_learner_model_final()
file: econml/_ortho_learner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1026
unit: def _subinds_check_none()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 1027
unit: def _illegal_refit_inference_methods()
file: econml/_ortho_learner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1028
unit: def node_replacement_text()
file: econml/_tree_exporter.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1029
unit: def predict()
file: econml/automated_ml/_automated_ml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1030
unit: def predict_proba()
file: econml/automated_ml/_automated_ml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1031
unit: def predict()
file: econml/automated_ml/_automated_ml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1032
unit: def predict_proba()
file: econml/automated_ml/_automated_ml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1033
unit: def interpret()
file: econml/cate_interpreter/_interpreters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1034
unit: def create_instance()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1035
unit: def _gen_data_with_policy()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1036
unit: def adaptive_policy_data()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1037
unit: def __init__()
file: econml/data/dynamic_panel_dgp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1038
unit: def __init__()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1039
unit: def predict()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1040
unit: def _gen_model_y()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1041
unit: def _gen_model_t()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1042
unit: def _gen_rlearner_model_final()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1043
unit: def _gen_ortho_learner_model_nuisance()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1044
unit: def _gen_ortho_learner_model_final()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1045
unit: def score()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 6

id: 1046
unit: def rlearner_model_final_()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1047
unit: def models_y()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1048
unit: def models_t()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1049
unit: def nuisance_scores_y()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1050
unit: def nuisance_scores_t()
file: econml/dml/_rlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1051
unit: def predict()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1052
unit: def ate_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1053
unit: def ate_stderr_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1054
unit: def att_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1055
unit: def att_stderr_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1056
unit: def const_marginal_effect_interval()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1057
unit: def effect_interval()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1058
unit: def _gen_featurizer()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1059
unit: def refit_final()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1060
unit: def ate_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1061
unit: def ate_stderr_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1062
unit: def att_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1063
unit: def att_stderr_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1064
unit: def feature_importances_()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1065
unit: def model_final()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1066
unit: def __len__()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1067
unit: def __getitem__()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1068
unit: def __iter__()
file: econml/dml/causal_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1069
unit: def original_featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1070
unit: def featurizer_()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1071
unit: def model_final_()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1072
unit: def model_cate()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1073
unit: def models_y()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1074
unit: def models_t()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1075
unit: def _gen_featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1076
unit: def _gen_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1077
unit: def _gen_rlearner_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1078
unit: def refit_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1079
unit: def bias_part_of_coef()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1080
unit: def fit_cate_intercept_()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1081
unit: def _gen_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1082
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1083
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1084
unit: def transform()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1085
unit: def _gen_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1086
unit: def _gen_featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1087
unit: def featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1088
unit: def model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1089
unit: def _gen_featurizer()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1090
unit: def _gen_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1091
unit: def _gen_rlearner_model_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1092
unit: def refit_final()
file: econml/dml/dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1093
unit: def __init__()
file: econml/dowhy.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1094
unit: def _combine()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 3

id: 1095
unit: def _gen_featurizer()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1096
unit: def _gen_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1097
unit: def _gen_ortho_learner_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1098
unit: def refit_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1099
unit: def score()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 6

id: 1100
unit: def models_propensity()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1101
unit: def models_regression()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1102
unit: def nuisance_scores_propensity()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1103
unit: def nuisance_scores_regression()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1104
unit: def featurizer_()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1105
unit: def model_final_()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1106
unit: def fitted_models_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1107
unit: def _gen_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1108
unit: def _gen_ortho_learner_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1109
unit: def fit_cate_intercept_()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1110
unit: def multitask_model_cate()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1111
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1112
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1113
unit: def _gen_ortho_learner_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1114
unit: def fit_cate_intercept_()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1115
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1116
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1117
unit: def _gen_ortho_learner_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1118
unit: def multitask_model_cate()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1119
unit: def multitask_model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1120
unit: def model_final()
file: econml/dr/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1121
unit: def _index_or_None()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 1122
unit: def _gen_featurizer()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1123
unit: def _gen_model_final()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1124
unit: def bias_part_of_coef()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1125
unit: def fit_cate_intercept_()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1126
unit: def original_featurizer()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1127
unit: def featurizer_()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1128
unit: def model_final_()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1129
unit: def model_final()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1130
unit: def models_y()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1131
unit: def models_t()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1132
unit: def nuisance_scores_y()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1133
unit: def nuisance_scores_t()
file: econml/dynamic/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1134
unit: def _get_alpha_and_pointJ()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1135
unit: def _get_n_outputs_decomposition()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1136
unit: def feature_importances_()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1137
unit: def predict_and_var()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1138
unit: def predict_var()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1139
unit: def prediction_stderr()
file: econml/grf/_base_grf.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1140
unit: def _get_valid_criteria()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1141
unit: def _get_valid_min_var_leaf_criteria()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1142
unit: def _get_store_jac()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1143
unit: def feature_importances_()
file: econml/grf/_base_grftree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1144
unit: def __init__()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1145
unit: def feature_importances_()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1146
unit: def __len__()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1147
unit: def __getitem__()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1148
unit: def __iter__()
file: econml/grf/classes.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1149
unit: def fit()
file: econml/grf/classes.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1150
unit: def fit()
file: econml/grf/classes.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 7

id: 1151
unit: def fit()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1152
unit: def _get_n_outputs_decomposition()
file: econml/grf/classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1153
unit: def prefit()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1154
unit: def fit()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1155
unit: def ate_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1156
unit: def ate_inference()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1157
unit: def marginal_ate_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1158
unit: def marginal_ate_inference()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1159
unit: def const_marginal_ate_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1160
unit: def const_marginal_ate_inference()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1161
unit: def const_marginal_effect_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1162
unit: def _predict()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1163
unit: def effect_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1164
unit: def effect_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1165
unit: def const_marginal_effect_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1166
unit: def effect_interval()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1167
unit: def point_estimate()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1168
unit: def stderr()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1169
unit: def conf_int()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1170
unit: def pvalue()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1171
unit: def _expand_outputs()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1172
unit: def stderr()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1173
unit: def pvalue()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1174
unit: def stderr()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1175
unit: def __str__()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1176
unit: def mean_point()
file: econml/inference/_inference.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1177
unit: def std_point()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1178
unit: def stderr_point()
file: econml/inference/_inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1179
unit: def _gen_featurizer()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1180
unit: def _gen_model_final()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1181
unit: def _gen_ortho_learner_model_final()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1182
unit: def refit_final()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1183
unit: def score()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 7

id: 1184
unit: def featurizer_()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1185
unit: def original_featurizer()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1186
unit: def model_final_()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1187
unit: def model_cate()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1188
unit: def models_y_xw()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1189
unit: def models_t_xw()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1190
unit: def nuisance_scores_y_xw()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1191
unit: def nuisance_scores_t_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1192
unit: def fit_cate_intercept_()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1193
unit: def bias_part_of_coef()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1194
unit: def model_final()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1195
unit: def score()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 7

id: 1196
unit: def original_featurizer()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1197
unit: def featurizer_()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1198
unit: def model_final_()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1199
unit: def model_cate()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1200
unit: def models_y_xw()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1201
unit: def models_t_xw()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1202
unit: def models_t_xwz()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1203
unit: def nuisance_scores_y_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1204
unit: def nuisance_scores_t_xw()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1205
unit: def nuisance_scores_t_xwz()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1206
unit: def _gen_featurizer()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1207
unit: def _gen_model_final()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1208
unit: def _gen_ortho_learner_model_nuisance()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1209
unit: def bias_part_of_coef()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1210
unit: def fit_cate_intercept_()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1211
unit: def _gen_featurizer()
file: econml/iv/dml/_dml.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1212
unit: def _gen_model_final()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1213
unit: def _gen_ortho_learner_model_nuisance()
file: econml/iv/dml/_dml.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1214
unit: def _gen_featurizer()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1215
unit: def _gen_model_final()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1216
unit: def refit_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1217
unit: def score()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 7

id: 1218
unit: def featurizer_()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1219
unit: def original_featurizer()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1220
unit: def model_final_()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1221
unit: def model_cate()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1222
unit: def _gen_prel_model_effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1223
unit: def models_y_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1224
unit: def models_t_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1225
unit: def models_tz_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1226
unit: def models_prel_model_effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1227
unit: def nuisance_scores_y_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1228
unit: def nuisance_scores_t_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1229
unit: def nuisance_scores_tz_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1230
unit: def nuisance_scores_prel_model_effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1231
unit: def _gen_model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1232
unit: def fit_cate_intercept_()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1233
unit: def bias_part_of_coef()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1234
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1235
unit: def fit_cate_intercept_()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1236
unit: def bias_part_of_coef()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1237
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1238
unit: def model_final()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1239
unit: def __init__()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1240
unit: def fit()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1241
unit: def _gen_prel_model_effect()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1242
unit: def __init__()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1243
unit: def fit()
file: econml/iv/dr/_dr.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 10

id: 1244
unit: def models_y_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1245
unit: def models_t_xwz()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1246
unit: def models_prel_model_effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1247
unit: def nuisance_scores_y_xw()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1248
unit: def nuisance_scores_t_xwz()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1249
unit: def nuisance_scores_prel_model_effect()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1250
unit: def _gen_model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1251
unit: def fit_cate_intercept_()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1252
unit: def bias_part_of_coef()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1253
unit: def model_final()
file: econml/iv/dr/_dr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1254
unit: def fit()
file: econml/iv/sieve/_tsls.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1255
unit: def __init__()
file: econml/iv/sieve/_tsls.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1256
unit: def fit()
file: econml/iv/sieve/_tsls.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1257
unit: def _add_ones()
file: econml/iv/sieve/_tsls.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1258
unit: def _add_zeros()
file: econml/iv/sieve/_tsls.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1259
unit: def print_tree()
file: econml/orf/_causal_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1260
unit: def find_split()
file: econml/orf/_causal_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1261
unit: def const_marginal_effect()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1262
unit: def __init__()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1263
unit: def _predict_wrapper()
file: econml/orf/_ortho_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1264
unit: def fit()
file: econml/policy/_base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1265
unit: def predict_value()
file: econml/policy/_base.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1266
unit: def predict()
file: econml/policy/_base.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1267
unit: def score()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 9

id: 1268
unit: def _gen_ortho_learner_model_final()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1269
unit: def _gen_drpolicy_learner()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1270
unit: def predict_value()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1271
unit: def predict()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1272
unit: def policy_feature_names()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1273
unit: def feature_importances_()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1274
unit: def policy_model_()
file: econml/policy/_drlearner.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1275
unit: def feature_importances_()
file: econml/policy/_forest/_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1276
unit: def predict()
file: econml/policy/_forest/_forest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1277
unit: def _get_valid_criteria()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1278
unit: def _get_store_jac()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1279
unit: def init()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1280
unit: def feature_importances_()
file: econml/policy/_forest/_tree.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1281
unit: def cate_models()
file: econml/score/ensemble_cate.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1282
unit: def weights()
file: econml/score/ensemble_cate.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1283
unit: def __init__()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1284
unit: def get_params()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1285
unit: def set_params()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1286
unit: def score()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1287
unit: def get_params()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1288
unit: def set_params()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1289
unit: def intercept_()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1290
unit: def coef_stderr_()
file: econml/sklearn_extensions/linear_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1291
unit: def intercept_stderr_()
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id: 1292
unit: def split()
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id: 1293
unit: def split()
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id: 1294
unit: def predict()
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id: 1295
unit: def predict_proba()
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size: 2 LOC
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id: 1296
unit: def __init__()
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id: 1297
unit: def __init__()
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number of parameters: 2

id: 1298
unit: def fit()
file: econml/solutions/causal_analysis/_causal_analysis.py
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id: 1299
unit: def transform()
file: econml/solutions/causal_analysis/_causal_analysis.py
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size: 2 LOC
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number of parameters: 2

id: 1300
unit: def _freeze()
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size: 2 LOC
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number of parameters: 1

id: 1301
unit: def whatif()
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id: 1302
unit: def __getstate__()
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id: 1303
unit: def __setstate__()
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id: 1304
unit: def __getstate__()
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id: 1305
unit: def __setstate__()
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id: 1306
unit: def __get__()
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unit: def __get__()
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id: 1308
unit: def __get__()
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id: 1309
unit: def __get__()
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id: 1310
unit: def __get__()
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unit: def __get__()
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unit: def __get__()
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unit: def __get__()
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id: 1314
unit: def __get__()
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id: 1315
unit: def __get__()
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id: 1316
unit: def __get__()
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id: 1317
unit: def __get__()
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id: 1318
unit: def __get__()
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id: 1319
unit: def __get__()
file: econml/tree/_tree.pyx
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McCabe index: 1
number of parameters: 1

id: 1320
unit: def _get_valid_criteria()
file: econml/tree/_tree_classes.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1321
unit: def _get_valid_min_var_leaf_criteria()
file: econml/tree/_tree_classes.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1322
unit: def _get_store_jac()
file: econml/tree/_tree_classes.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1323
unit: def __dealloc__()
file: econml/tree/_utils.pyx
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size: 2 LOC
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number of parameters: 1

id: 1324
unit: def fit()
file: econml/utilities.py
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id: 1325
unit: def transform()
file: econml/utilities.py
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McCabe index: 1
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id: 1326
unit: def issparse()
file: econml/utilities.py
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McCabe index: 2
number of parameters: 1

id: 1327
unit: def iscoo()
file: econml/utilities.py
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McCabe index: 1
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id: 1328
unit: def size()
file: econml/utilities.py
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McCabe index: 2
number of parameters: 1

id: 1329
unit: def shape()
file: econml/utilities.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1330
unit: def ndim()
file: econml/utilities.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1331
unit: def hstack()
file: econml/utilities.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1332
unit: def vstack()
file: econml/utilities.py
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McCabe index: 1
number of parameters: 1

id: 1333
unit: def add_intercept()
file: econml/utilities.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1334
unit: def filter_none_kwargs()
file: econml/utilities.py
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size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 1335
unit: def predict()
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McCabe index: 1
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id: 1336
unit: def __str__()
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number of parameters: 1

id: 1337
unit: def __repr__()
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id: 1338
unit: def __init__()
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id: 1339
unit: def coef_()
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id: 1340
unit: def __getattr__()
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id: 1341
unit: def __call__()
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id: 1342
unit: def __init__()
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id: 1343
unit: def predict()
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id: 1344
unit: def predict()
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size: 2 LOC
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id: 1345
unit: def __init__()
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id: 1346
unit: def predict()
file: prototypes/dml_iv/coverage_experiment.py
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id: 1347
unit: def summary()
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id: 1348
unit: def coef_()
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id: 1349
unit: def intercept_()
file: prototypes/dml_iv/coverage_experiment.py
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id: 1350
unit: def coef_()
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id: 1351
unit: def predict()
file: prototypes/dml_iv/deep_dr_iv.py
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id: 1352
unit: def std()
file: prototypes/dml_iv/dml_ate_iv.py
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id: 1353
unit: def std()
file: prototypes/dml_iv/dml_ate_iv.py
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number of parameters: 1

id: 1354
unit: def coef_()
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id: 1355
unit: def effect()
file: prototypes/dml_iv/dml_iv.py
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id: 1356
unit: def coef_()
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id: 1357
unit: def intercept_()
file: prototypes/dml_iv/dml_iv.py
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size: 2 LOC
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id: 1358
unit: def effect_model()
file: prototypes/dml_iv/dml_iv.py
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id: 1359
unit: def effect_model()
file: prototypes/dml_iv/dml_iv.py
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number of parameters: 1

id: 1360
unit: def effect_model()
file: prototypes/dml_iv/dml_iv.py
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number of parameters: 1

id: 1361
unit: def _check_inputs()
file: prototypes/dml_iv/dr_iv.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1362
unit: def _nuisance_estimates()
file: prototypes/dml_iv/dr_iv.py
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size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1363
unit: def effect()
file: prototypes/dml_iv/dr_iv.py
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id: 1364
unit: def effect_model()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1365
unit: def __init__()
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id: 1366
unit: def fit()
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number of parameters: 5

id: 1367
unit: def effect()
file: prototypes/dml_iv/dr_iv.py
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id: 1368
unit: def summary()
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id: 1369
unit: def predict()
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id: 1370
unit: def summary()
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id: 1371
unit: def coef_()
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id: 1372
unit: def intercept_()
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id: 1373
unit: def coef_()
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id: 1374
unit: def __init__()
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id: 1375
unit: def predict()
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id: 1376
unit: def __deepcopy__()
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id: 1377
unit: def predict()
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id: 1378
unit: def __deepcopy__()
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id: 1379
unit: def predict()
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id: 1380
unit: def model()
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id: 1381
unit: def intercept_()
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id: 1382
unit: def predict_proba()
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id: 1383
unit: def predict()
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id: 1384
unit: def create_instance()
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size: 2 LOC
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number of parameters: 3

id: 1385
unit: def _gen_data_with_policy()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
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size: 2 LOC
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number of parameters: 4

id: 1386
unit: def adaptive_policy_data()
file: prototypes/dynamic_dml/dynamic_panel_dgp.py
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size: 2 LOC
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id: 1387
unit: def __init__()
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id: 1388
unit: def __init__()
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id: 1389
unit: def __init__()
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id: 1390
unit: def __init__()
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number of parameters: 4

id: 1391
unit: def param()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1392
unit: def param_cov()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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size: 2 LOC
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id: 1393
unit: def param_stderr()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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size: 2 LOC
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number of parameters: 1

id: 1394
unit: def _policy_effect_var()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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size: 2 LOC
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number of parameters: 2

id: 1395
unit: def _policy_effect_stderr()
file: prototypes/dynamic_dml/hetero_panel_dynamic_dml.py
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size: 2 LOC
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number of parameters: 2

id: 1396
unit: def param()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
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number of parameters: 1

id: 1397
unit: def param_cov()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1398
unit: def param_stderr()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1399
unit: def policy_effect()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1400
unit: def policy_effect_var()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1401
unit: def policy_effect_stderr()
file: prototypes/dynamic_dml/panel_dynamic_dml.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1402
unit: def estimate()
file: prototypes/orthogonal_forests/causal_tree.py
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size: 2 LOC
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number of parameters: 1

id: 1403
unit: def print_tree()
file: prototypes/orthogonal_forests/causal_tree.py
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size: 2 LOC
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number of parameters: 1

id: 1404
unit: def find_split()
file: prototypes/orthogonal_forests/causal_tree.py
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size: 2 LOC
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number of parameters: 2

id: 1405
unit: def predict()
file: prototypes/orthogonal_forests/hetero_dml.py
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id: 1406
unit: def fit()
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id: 1407
unit: def predict()
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id: 1408
unit: def predict_with_weights()
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