Uber / causalml

Unit Size

The distribution of size of units (measured in lines of code).

Longest Units

Top 50 longest units

Unit	# lines	McCabe index	# params
def growDecisionTreeFrom() in causalml/inference/tree/uplift.pyx	297	72	14
def uplift_tree_plot() in causalml/inference/tree/plot.py	195	19	2
def cat_continuous() in causalml/inference/tree/utils.py	140	28	2
def _fit() in causalml/inference/tree/causal/causalforest.py	113	34	4
def pruneTree() in causalml/inference/tree/uplift.pyx	108	28	9
def fit() in causalml/inference/meta/rlearner.py	96	11	7
def fit() in causalml/inference/meta/drlearner.py	92	16	6
def classify() in causalml/inference/tree/uplift.pyx	88	15	3
def tree_node_summary_to_arr() in causalml/inference/tree/uplift.pyx	74	6	15
def estimate_ate() in causalml/inference/meta/tmle.py	73	11	7
def fit() in causalml/inference/tf/dragonnet.py	73	3	5
def get_synthetic_summary_holdout() in causalml/dataset/synthetic.py	69	10	4
def _obj_func_midp() in causalml/optimize/unit_selection.py	67	4	4
def plot() in causalml/metrics/sensitivity.py	63	11	5
def group_counts_by_divide() in causalml/inference/tree/uplift.pyx	63	12	9
def compute_partial_dependence() in causalml/inference/tree/_tree/_tree.pyx	58	14	5
def _filter_F_one_feature() in causalml/feature_selection/filters.py	57	9	5
def arr_evaluate_CIT() in causalml/inference/tree/uplift.pyx	57	11	12
def make_dragonnet() in causalml/inference/tf/dragonnet.py	57	1	2
def fit() in causalml/inference/meta/rlearner.py	54	9	7
def match() in causalml/match.py	53	9	4
def fit() in causalml/inference/meta/rlearner.py	52	9	7
def arr_evaluate_IT() in causalml/inference/tree/uplift.pyx	50	2	8
def fit() in causalml/inference/tree/uplift.pyx	49	18	7
def evaluate_CIT() in causalml/inference/tree/uplift.pyx	49	2	9
def fit() in causalml/inference/meta/xlearner.py	49	9	5
def check_table_one() in causalml/match.py	48	15	6
def __init__() in causalml/inference/tree/uplift.pyx	47	12	13
def arr_normI() in causalml/inference/tree/uplift.pyx	46	4	5
def get_std_diffs() in causalml/metrics/visualize.py	44	6	5
def get_synthetic_preds() in causalml/dataset/synthetic.py	41	7	3
def fit() in causalml/inference/meta/xlearner.py	41	9	5
def evaluate_IT() in causalml/inference/tree/uplift.pyx	39	3	4
def predict() in causalml/inference/tree/uplift.pyx	38	8	3
def tree_node_summary() in causalml/inference/tree/uplift.pyx	37	6	6
def __init__() in causalml/inference/tree/uplift.pyx	37	3	16
def group_uniqueCounts_to_arr() in causalml/inference/tree/uplift.pyx	36	8	6
def search_best_match() in causalml/match.py	35	11	2
def causalsens() in causalml/metrics/sensitivity.py	33	3	1
def get_pns_bounds() in causalml/optimize/pns.py	33	4	5
def normI() in causalml/inference/tree/uplift.pyx	33	3	7
def simple_tmle() in causalml/inference/meta/tmle.py	33	1	6
def get_synthetic_summary() in causalml/dataset/synthetic.py	32	5	4
def make_uplift_classification() in causalml/dataset/classification.py	32	1	0
def predict() in causalml/inference/iv/drivlearner.py	30	9	6
def divideSet_len() in causalml/inference/tree/uplift.pyx	29	5	5
def arr_evaluate_Chi() in causalml/inference/tree/uplift.pyx	29	2	4
def fit() in causalml/inference/tree/uplift.pyx	28	8	7
def kl_divergence() in causalml/inference/tree/uplift.pyx	27	4	2
def partial_rsqs_confounding() in causalml/metrics/sensitivity.py	26	4	4