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line: 0 size: 85 LOC McCabe index: 11 number of parameters: 32 id: 8 unit: def _create_iteration() file: adanet/core/estimator.py start line: 0 end line: 0 size: 83 LOC McCabe index: 13 number of parameters: 9 id: 9 unit: def _build_nasnet_base() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 81 LOC McCabe index: 25 number of parameters: 9 id: 10 unit: def monkey_patched_summaries() file: adanet/core/summary.py start line: 0 end line: 0 size: 80 LOC McCabe index: 4 number of parameters: 1 id: 11 unit: def build_ensemble() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 78 LOC McCabe index: 14 number of parameters: 11 id: 12 unit: def _get_best_ensemble_index() file: adanet/core/estimator.py start line: 0 end line: 0 size: 76 LOC McCabe index: 17 number of parameters: 4 id: 13 unit: def _architecture_ensemble_spec() file: adanet/core/estimator.py start line: 0 end line: 0 size: 67 LOC McCabe index: 11 number of parameters: 10 id: 14 unit: def best_eval_metrics_tuple() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 58 LOC McCabe index: 13 number of parameters: 3 id: 15 unit: def materialize_subnetwork_reports() file: adanet/core/report_materializer.py start line: 0 end line: 0 size: 58 LOC McCabe index: 20 number of parameters: 5 id: 16 unit: def dummy_ensemble_spec() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 57 LOC McCabe index: 4 number of parameters: 12 id: 17 unit: def __init__() file: adanet/autoensemble/estimator.py start line: 0 end line: 0 size: 56 LOC McCabe index: 1 number of parameters: 28 id: 18 unit: def __new__() file: adanet/subnetwork/report.py start line: 0 end line: 0 size: 55 LOC McCabe index: 14 number of parameters: 4 id: 19 unit: def _monkey_patch_context() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 52 LOC McCabe index: 3 number of parameters: 3 id: 20 unit: def build_subnetwork() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 51 LOC McCabe index: 2 number of parameters: 9 id: 21 unit: def _best_export_outputs() file: adanet/core/iteration.py start line: 0 end line: 0 size: 51 LOC McCabe index: 18 number of parameters: 5 id: 22 unit: def estimator() file: research/improve_nas/trainer/adanet_improve_nas.py start line: 0 end line: 0 size: 49 LOC McCabe index: 4 number of parameters: 6 id: 23 unit: def _create_hooks() file: adanet/core/iteration.py start line: 0 end line: 0 size: 46 LOC McCabe index: 17 number of parameters: 8 id: 24 unit: def _create_model_fn() file: adanet/core/estimator.py start line: 0 end line: 0 size: 45 LOC McCabe index: 5 number of parameters: 8 id: 25 unit: def predict() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 45 LOC McCabe index: 4 number of parameters: 6 id: 26 unit: def _build_weighted_subnetwork_helper() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 45 LOC McCabe index: 15 number of parameters: 6 id: 27 unit: def __init__() file: adanet/autoensemble/estimator.py start line: 0 end line: 0 size: 44 LOC McCabe index: 1 number of parameters: 22 id: 28 unit: def build_nasnet_mobile() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 44 LOC McCabe index: 7 number of parameters: 6 id: 29 unit: def build_nasnet_large() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 44 LOC McCabe index: 7 number of parameters: 6 id: 30 unit: def main() file: research/improve_nas/trainer/trainer.py start line: 0 end line: 0 size: 43 LOC McCabe index: 4 number of parameters: 1 id: 31 unit: def _materialize_report() file: adanet/core/estimator.py start line: 0 end line: 0 size: 41 LOC McCabe index: 8 number of parameters: 5 id: 32 unit: def hparams() file: research/improve_nas/trainer/adanet_improve_nas.py start line: 0 end line: 0 size: 41 LOC McCabe index: 4 number of parameters: 3 id: 33 unit: def _create_estimator_spec() file: adanet/core/estimator.py start line: 0 end line: 0 size: 40 LOC McCabe index: 4 number of parameters: 7 id: 34 unit: def build_nasnet_cifar() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 40 LOC McCabe index: 6 number of parameters: 5 id: 35 unit: def create_iteration_metrics() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 39 LOC McCabe index: 5 number of parameters: 4 id: 36 unit: def _strip_tag_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 37 LOC McCabe index: 6 number of parameters: 2 id: 37 unit: def build_subnetwork() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 36 LOC McCabe index: 4 number of parameters: 7 id: 38 unit: def __call__() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 36 LOC McCabe index: 3 number of parameters: 8 id: 39 unit: def build_ensemble() file: adanet/ensemble/mean.py start line: 0 end line: 0 size: 35 LOC McCabe index: 10 number of parameters: 11 id: 40 unit: def build_subnetwork_train_op() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 35 LOC McCabe index: 7 number of parameters: 8 id: 41 unit: def _apply_conv_operation() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 33 LOC McCabe index: 17 number of parameters: 6 id: 42 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 32 LOC McCabe index: 3 number of parameters: 9 id: 43 unit: def build_candidate() file: adanet/core/candidate.py start line: 0 end line: 0 size: 32 LOC McCabe index: 5 number of parameters: 6 id: 44 unit: def build_subnetwork() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 32 LOC McCabe index: 4 number of parameters: 7 id: 45 unit: def __new__() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 31 LOC McCabe index: 2 number of parameters: 14 id: 46 unit: def _create_model_fn() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 31 LOC McCabe index: 6 number of parameters: 8 id: 47 unit: def fn_with_name() file: research/improve_nas/trainer/optimizer.py start line: 0 end line: 0 size: 31 LOC McCabe index: 3 number of parameters: 3 id: 48 unit: def __new__() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 30 LOC McCabe index: 11 number of parameters: 7 id: 49 unit: def _disable_asserts_for_confusion_matrix_at_thresholds() file: adanet/core/estimator.py start line: 0 end line: 0 size: 30 LOC McCabe index: 1 number of parameters: 0 id: 50 unit: def _execute_candidate_evaluation_phase() file: adanet/core/estimator.py start line: 0 end line: 0 size: 30 LOC McCabe index: 2 number of parameters: 5 id: 51 unit: def _execute_graph_growing_phase() file: adanet/core/estimator.py start line: 0 end line: 0 size: 29 LOC McCabe index: 2 number of parameters: 4 id: 52 unit: def _create_estimator_spec() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 29 LOC McCabe index: 3 number of parameters: 7 id: 53 unit: def _compute_complexity_regularization() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 29 LOC McCabe index: 5 number of parameters: 4 id: 54 unit: def _apply_drop_path() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 29 LOC McCabe index: 9 number of parameters: 5 id: 55 unit: def _make_checkpoint() file: adanet/core/iteration.py start line: 0 end line: 0 size: 28 LOC McCabe index: 9 number of parameters: 5 id: 56 unit: def create_eval_metrics() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 28 LOC McCabe index: 10 number of parameters: 5 id: 57 unit: def check_eventfile_for_keyword() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 28 LOC McCabe index: 14 number of parameters: 2 id: 58 unit: def factorized_reduction() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 28 LOC McCabe index: 5 number of parameters: 4 id: 59 unit: def cutout() file: research/improve_nas/trainer/image_processing.py start line: 0 end line: 0 size: 28 LOC McCabe index: 1 number of parameters: 4 id: 60 unit: def export_savedmodel() file: adanet/core/estimator.py start line: 0 end line: 0 size: 27 LOC McCabe index: 2 number of parameters: 8 id: 61 unit: def export_saved_model() file: adanet/core/estimator.py start line: 0 end line: 0 size: 27 LOC McCabe index: 2 number of parameters: 8 id: 62 unit: def __new__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 27 LOC McCabe index: 8 number of parameters: 11 id: 63 unit: def _best_predictions() file: adanet/core/iteration.py start line: 0 end line: 0 size: 27 LOC McCabe index: 9 number of parameters: 3 id: 64 unit: def _stacked_separable_conv() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 27 LOC McCabe index: 3 number of parameters: 5 id: 65 unit: def generate_candidates() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 26 LOC McCabe index: 4 number of parameters: 6 id: 66 unit: def _create_tpu_train_op() file: adanet/core/iteration.py start line: 0 end line: 0 size: 26 LOC McCabe index: 13 number of parameters: 7 id: 67 unit: def _monkey_patch_distributed_training_times() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 26 LOC McCabe index: 2 number of parameters: 0 id: 68 unit: def _create_bias_term_helper() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 26 LOC McCabe index: 5 number of parameters: 6 id: 69 unit: def experimental_export_all_saved_models() file: adanet/core/estimator.py start line: 0 end line: 0 size: 25 LOC McCabe index: 2 number of parameters: 7 id: 70 unit: def _templatize_metric_fn() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 25 LOC McCabe index: 7 number of parameters: 2 id: 71 unit: def evaluate() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 25 LOC McCabe index: 13 number of parameters: 3 id: 72 unit: def _dummy_export_outputs() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 25 LOC McCabe index: 6 number of parameters: 3 id: 73 unit: def work_units() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 24 LOC McCabe index: 7 number of parameters: 2 id: 74 unit: def evaluate() file: adanet/core/estimator.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 6 id: 75 unit: def _create_host_call() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 24 LOC McCabe index: 8 number of parameters: 3 id: 76 unit: def get_input_fn() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 6 id: 77 unit: def generate_candidates() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 24 LOC McCabe index: 2 number of parameters: 5 id: 78 unit: def get_input_fn() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 24 LOC McCabe index: 3 number of parameters: 6 id: 79 unit: def end() file: adanet/core/estimator.py start line: 0 end line: 0 size: 23 LOC McCabe index: 5 number of parameters: 2 id: 80 unit: def _training_chief_hooks() file: adanet/core/estimator.py start line: 0 end line: 0 size: 23 LOC McCabe index: 6 number of parameters: 3 id: 81 unit: def __new__() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 23 LOC McCabe index: 1 number of parameters: 11 id: 82 unit: def __init__() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 23 LOC McCabe index: 3 number of parameters: 10 id: 83 unit: def _cifar10_dataset() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 2 id: 84 unit: def _cifar100_dataset() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 2 id: 85 unit: def predict() file: adanet/core/estimator.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 6 id: 86 unit: def _execute_report_materialization_phase() file: adanet/core/estimator.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 4 id: 87 unit: def _check_numerics() file: adanet/core/iteration.py start line: 0 end line: 0 size: 22 LOC McCabe index: 9 number of parameters: 3 id: 88 unit: def _architecture_as_metric() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 22 LOC McCabe index: 5 number of parameters: 2 id: 89 unit: def __init__() file: adanet/core/summary.py start line: 0 end line: 0 size: 22 LOC McCabe index: 4 number of parameters: 5 id: 90 unit: def get_input_fn() file: research/improve_nas/trainer/fake_data.py start line: 0 end line: 0 size: 22 LOC McCabe index: 3 number of parameters: 4 id: 91 unit: def begin() file: adanet/core/estimator.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 1 id: 92 unit: def _combine_unused_states() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 21 LOC McCabe index: 9 number of parameters: 2 id: 93 unit: def __init__() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 6 id: 94 unit: def __init__() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 6 id: 95 unit: def nasnet_cifar_arg_scope() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 3 id: 96 unit: def nasnet_mobile_arg_scope() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 3 id: 97 unit: def nasnet_large_arg_scope() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 3 id: 98 unit: def _build_aux_head() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 3 number of parameters: 5 id: 99 unit: def _imagenet_stem() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 2 number of parameters: 4 id: 100 unit: def create_ensemble_metrics() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 6 id: 101 unit: def subnetwork_devices() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 20 LOC McCabe index: 7 number of parameters: 3 id: 102 unit: def make_run_config() file: research/improve_nas/trainer/trainer.py start line: 0 end line: 0 size: 20 LOC McCabe index: 9 number of parameters: 0 id: 103 unit: def _evaluation_hooks() file: adanet/core/estimator.py start line: 0 end 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unit: def _reduce_prev_layer() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 18 LOC McCabe index: 6 number of parameters: 3 id: 111 unit: def before_run() file: adanet/core/estimator.py start line: 0 end line: 0 size: 17 LOC McCabe index: 3 number of parameters: 2 id: 112 unit: def serialize() file: adanet/core/architecture.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 3 id: 113 unit: def _get_current_vars() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 1 id: 114 unit: def _create_dummy_candidate() file: adanet/core/iteration.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 5 id: 115 unit: def audio() file: adanet/core/summary.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 8 id: 116 unit: def audio() file: adanet/core/summary.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 7 id: 117 unit: def image_v2() file: adanet/core/summary.py start line: 0 end line: 0 size: 17 LOC McCabe index: 4 number of parameters: 7 id: 118 unit: def audio_v2() file: adanet/core/summary.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 7 id: 119 unit: def should_build_subnetwork() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 17 LOC McCabe index: 6 number of parameters: 3 id: 120 unit: def _summary_maker() file: adanet/core/estimator.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 4 id: 121 unit: def _training_hooks() file: adanet/core/estimator.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 6 id: 122 unit: def __init__() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 6 id: 123 unit: def __init__() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 5 id: 124 unit: def create_subnetwork_metrics() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 16 LOC McCabe index: 3 number of parameters: 5 id: 125 unit: def _create_temp_estimator() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 16 LOC McCabe index: 1 number of parameters: 3 id: 126 unit: def __init__() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 6 id: 127 unit: def __init__() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 7 id: 128 unit: def __init__() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 16 LOC McCabe index: 2 number of parameters: 7 id: 129 unit: def __new__() file: adanet/subnetwork/report.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 7 id: 130 unit: def __init__() file: adanet/core/summary.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 4 id: 131 unit: def load_variable() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 4 id: 132 unit: def _build_weighted_subnetwork() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 4 id: 133 unit: def _create_ensemble_logits_helper() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 6 id: 134 unit: def cifar_config() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 0 id: 135 unit: def large_imagenet_config() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 136 unit: def mobile_imagenet_config() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 15 LOC McCabe index: 1 number of parameters: 0 id: 137 unit: def _collate_subnetwork_reports() file: adanet/core/estimator.py start line: 0 end line: 0 size: 14 LOC McCabe index: 9 number of parameters: 2 id: 138 unit: def histogram() file: adanet/core/summary.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 6 id: 139 unit: def _call_input_fn_in_new_graph() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 4 id: 140 unit: def _training_hooks() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 6 id: 141 unit: def __init__() file: adanet/core/estimator.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 6 id: 142 unit: def _compute_best_ensemble_index() file: adanet/core/estimator.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 3 id: 143 unit: def 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index: 2 number of parameters: 6 id: 150 unit: def execute() file: adanet/experimental/work_units/keras_trainer_work_unit.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 1 id: 151 unit: def _convert_to_subestimator() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 1 id: 152 unit: def _call_generate_candidates() file: adanet/core/estimator.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 6 id: 153 unit: def __init__() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 6 id: 154 unit: def _strip_tag_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 155 unit: def image() file: adanet/core/summary.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 5 id: 156 unit: def _create_bias_term() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 4 id: 157 unit: def _pooling() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 4 id: 158 unit: def begin() file: adanet/core/estimator.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 159 unit: def _checkpoint_global_step() file: adanet/core/estimator.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 160 unit: def _create_estimator_spec() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 6 id: 161 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 5 id: 162 unit: def after_create_session() file: adanet/core/iteration.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 3 id: 163 unit: def _best_candidate_index() file: adanet/core/iteration.py start line: 0 end line: 0 size: 11 LOC McCabe index: 4 number of parameters: 3 id: 164 unit: def eval_metrics_tuple() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 165 unit: def scalar() file: adanet/core/summary.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 4 id: 166 unit: def histogram() file: adanet/core/summary.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 4 id: 167 unit: def skip_for_tf2() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 1 id: 168 unit: def _load_variable() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 3 id: 169 unit: def __init__() file: research/improve_nas/trainer/fake_data.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 6 id: 170 unit: def __init__() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 9 id: 171 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 2 id: 172 unit: def __init__() file: adanet/experimental/work_units/keras_trainer_work_unit.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 6 id: 173 unit: def _copy_recursively() file: adanet/core/estimator.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 2 id: 174 unit: def _process_hooks_for_growing_phase() file: adanet/core/estimator.py start line: 0 end line: 0 size: 10 LOC McCabe index: 5 number of parameters: 2 id: 175 unit: def _create_eval_metric_saver_hook() file: adanet/core/estimator.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 5 id: 176 unit: def _save_architecture() file: adanet/core/estimator.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 4 id: 177 unit: def deserialize() file: adanet/core/architecture.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 1 id: 178 unit: def dummy_estimator_spec() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 179 unit: def __new__() file: adanet/core/candidate.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 4 id: 180 unit: def write_iteration_report() file: adanet/core/report_accessor.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 3 id: 181 unit: def audio() file: adanet/core/summary.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 6 id: 182 unit: def image_v3() file: adanet/core/summary.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 6 id: 183 unit: def _create_temp_run_config() file: adanet/core/tpu_estimator.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 184 unit: def _worker_task() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 2 id: 185 unit: def metric_op() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 1 id: 186 unit: def skip_for_tf1() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 1 id: 187 unit: def _create_ensemble_logits() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 4 id: 188 unit: def build_train_op() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 8 id: 189 unit: def drop_path() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 3 id: 190 unit: def work_units() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 191 unit: def work_units() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 2 id: 192 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 2 id: 193 unit: def __init__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 4 id: 194 unit: def work_units() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 195 unit: def _default_logits() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 196 unit: def _maybe_call_candidate_pool() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 197 unit: def _delete_directory() file: adanet/core/estimator.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 1 id: 198 unit: def _find_ensemble_candidate() file: adanet/core/estimator.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 199 unit: def subnetworks_grouped_by_iteration() file: adanet/core/architecture.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 200 unit: def after_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 201 unit: def begin() file: adanet/core/iteration.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 1 id: 202 unit: def _add_hooks() file: adanet/core/iteration.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 5 id: 203 unit: def _best_loss() file: adanet/core/iteration.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 4 id: 204 unit: def image() file: adanet/core/summary.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 6 id: 205 unit: def image() file: adanet/core/summary.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 5 id: 206 unit: def __new__() file: adanet/ensemble/mean.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 4 id: 207 unit: def get_channel_dim() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 208 unit: def _cell_base() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 3 id: 209 unit: def resize_and_normalize() file: research/improve_nas/trainer/image_processing.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 3 id: 210 unit: def _cifar_stem() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 211 unit: def build_subnetwork() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 8 id: 212 unit: def __init__() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 6 id: 213 unit: def __init__() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 214 unit: def before_run() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 215 unit: def after_run() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 216 unit: def begin() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 217 unit: def _checkpoint_iteration_number() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 218 unit: def _force_replication_strategy() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 219 unit: def _call_input_fn_in_new_graph() file: adanet/core/estimator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 4 id: 220 unit: def _verify_metric_fn_args() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 1 id: 221 unit: def _session_run_context() file: adanet/core/iteration.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 1 id: 222 unit: def before_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 223 unit: def after_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 224 unit: def _call_eval_metrics() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 225 unit: def _build_eval_metrics_store() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 226 unit: def _group_metric_ops() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 227 unit: def _subnetwork_report_to_dict() file: adanet/core/report_accessor.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 228 unit: def _append_iteration_report_json() file: adanet/core/report_accessor.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 229 unit: def read_iteration_reports() file: adanet/core/report_accessor.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 230 unit: def audio() file: adanet/core/summary.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 8 id: 231 unit: def __init__() file: adanet/core/summary.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 5 id: 232 unit: def monkey_patch_default_variable_placement_strategy() file: adanet/distributed/devices.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 233 unit: def _update_variable_collection() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 234 unit: def __new__() file: adanet/ensemble/strategy.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 4 id: 235 unit: def build_mixture_weights_train_op() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 7 id: 236 unit: def global_avg_pool() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 237 unit: def _validate_nested_persisted_tensors() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 1 id: 238 unit: def call() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 239 unit: def _create_temp_run_config() file: adanet/core/estimator.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 240 unit: def __init__() file: adanet/core/architecture.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 5 id: 241 unit: def is_over() file: adanet/core/iteration.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 1 id: 242 unit: def before_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 243 unit: def _get_scaffold_fn() file: adanet/core/iteration.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 244 unit: def dummy_input_fn() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 245 unit: def _strip_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 246 unit: def _prefix_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 247 unit: def image() file: adanet/core/summary.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 6 id: 248 unit: def histogram_v3() file: adanet/core/summary.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 6 id: 249 unit: def generate_ensemble_candidates() file: adanet/ensemble/strategy.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 250 unit: def generate_ensemble_candidates() file: adanet/ensemble/strategy.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 251 unit: def _select_mixture_weight_initializer() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 2 id: 252 unit: def __init__() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 253 unit: def apply() file: research/improve_nas/trainer/optimizer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 254 unit: def name() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 255 unit: def __init__() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 256 unit: def calc_reduction_layers() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 257 unit: def _operation_to_pooling_shape() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 258 unit: def work_units() file: adanet/experimental/controllers/sequential_controller.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 259 unit: def __init__() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 5 id: 260 unit: def __init__() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 261 unit: def get_holdout_data() file: adanet/experimental/keras/testing_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 262 unit: def execute() file: adanet/experimental/work_units/keras_tuner_work_unit.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 263 unit: def __init__() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 264 unit: def __init__() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 4 id: 265 unit: def _stop_if_is_over() file: adanet/core/estimator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 266 unit: def __init__() file: adanet/core/estimator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 267 unit: def _train_op() file: adanet/core/estimator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 5 number of parameters: 3 id: 268 unit: def _set_trainable_variables() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 269 unit: def request_stop() file: adanet/core/iteration.py start line: 0 end line: 0 size: 6 LOC McCabe index: 5 number of parameters: 3 id: 270 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 5 id: 271 unit: def create_eval_metrics() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 272 unit: def setUp() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 273 unit: def histogram() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 274 unit: def _prefix_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 275 unit: def current_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 276 unit: def scalar() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 5 id: 277 unit: def scalar() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 278 unit: def scalar() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 279 unit: def histogram() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 280 unit: def scalar_v2() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 281 unit: def histogram_v2() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 282 unit: def scalar_v3() file: adanet/core/summary.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 5 id: 283 unit: def version_greater_or_equal() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 284 unit: def generate_ensemble_candidates() file: adanet/ensemble/strategy.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 285 unit: def _compute_adanet_gamma() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 286 unit: def capture_variables() file: research/improve_nas/trainer/subnetwork_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 287 unit: def copy_update() file: research/improve_nas/trainer/subnetwork_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 288 unit: def _operation_to_filter_shape() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 289 unit: def basic_augmentation() file: research/improve_nas/trainer/image_processing.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 290 unit: def get_best_models() file: adanet/experimental/controllers/sequential_controller.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 291 unit: def get_train_dataset() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 292 unit: def get_eval_dataset() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 293 unit: def get_models() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 294 unit: def get_best_models() file: adanet/experimental/phases/repeat_phase.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 295 unit: def call() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 296 unit: def __init__() file: adanet/experimental/keras/model_search.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 297 unit: def __init__() file: adanet/core/estimator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 5 id: 298 unit: def _create_temp_estimator() file: adanet/core/estimator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 299 unit: def _read_architecture() file: adanet/core/estimator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 300 unit: def __init__() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 301 unit: def after_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 3 id: 302 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 5 id: 303 unit: def __init__() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 5 id: 304 unit: def begin() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 305 unit: def end() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 306 unit: def histogram() file: adanet/core/summary.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 307 unit: def should_build_ensemble() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 308 unit: def make_one_shot_iterator() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 309 unit: def random_normal() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 310 unit: def _hashable_var_key() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 311 unit: def get_best_ensemble_index() file: adanet/replay/__init__.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 2 id: 312 unit: def build_train_op() file: adanet/ensemble/mean.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 8 id: 313 unit: def _compute_complexity_regularization_helper() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 3 id: 314 unit: def get_feature_columns() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 315 unit: def get_feature_columns() file: research/improve_nas/trainer/fake_data.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 316 unit: def get_feature_columns() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 317 unit: def _operation_to_num_layers() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 318 unit: def __new__() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 4 id: 319 unit: def __init__() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 320 unit: def __init__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 321 unit: def __init__() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 322 unit: def __init__() file: adanet/experimental/phases/input_phase.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 323 unit: def __init__() file: adanet/experimental/work_units/keras_tuner_work_unit.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 324 unit: def _get_value() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 325 unit: def _to_train_op_spec() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 326 unit: def before_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 327 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 328 unit: def _is_numeric() file: adanet/core/iteration.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 329 unit: def build_subnetwork_train_op() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 8 id: 330 unit: def main() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 331 unit: def __init__() file: adanet/core/report_materializer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 332 unit: def dummy_tensor() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 333 unit: def head() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 0 id: 334 unit: def current_scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 335 unit: def should_train_subnetworks() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 2 id: 336 unit: def __init__() file: adanet/ensemble/mean.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 337 unit: def name() file: adanet/ensemble/mean.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 338 unit: def _stringify() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 339 unit: def _lookup_if_dict() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 340 unit: def name() file: adanet/ensemble/weighted.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 341 unit: def __new__() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 4 id: 342 unit: def get_persisted_value_from_ensemble() file: research/improve_nas/trainer/subnetwork_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 343 unit: def get_channel_index() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 344 unit: def _operation_to_info() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 345 unit: def _operation_to_pooling_info() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 346 unit: def generate_candidates() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 347 unit: def get_best_models() file: adanet/experimental/storages/in_memory_storage.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 348 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 349 unit: def __init__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 350 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 351 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 352 unit: def __init__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 353 unit: def __init__() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 354 unit: def schedule() file: adanet/experimental/schedulers/in_process_scheduler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 355 unit: def __new__() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 356 unit: def build_subnetwork_train_op() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 8 id: 357 unit: def __init__() file: adanet/core/estimator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 358 unit: def _dict_to_str() file: adanet/core/estimator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 359 unit: def _architecture_filename() file: adanet/core/estimator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 360 unit: def _clear_trainable_variables() file: adanet/core/ensemble_builder.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 361 unit: def __init__() file: adanet/core/iteration.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 362 unit: def after_create_session() file: adanet/core/iteration.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 363 unit: def end() file: adanet/core/iteration.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 364 unit: def __init__() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 365 unit: def add_eval_metrics() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 366 unit: def flatten_args() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 367 unit: def pack_args() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 368 unit: def __init__() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 369 unit: def best_eval_metric_ops() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 370 unit: def __init__() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 371 unit: def __init__() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 372 unit: def tearDown() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 373 unit: def __init__() file: adanet/core/candidate.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 374 unit: def __init__() file: adanet/core/report_accessor.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 375 unit: def merge_all() file: adanet/core/summary.py start line: 0 end line: 0 size: 3 LOC McCabe index: 3 number of parameters: 1 id: 376 unit: def __init__() file: adanet/core/timer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 377 unit: def secs_remaining() file: adanet/core/timer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 378 unit: def __init__() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 379 unit: def __call__() file: adanet/distributed/devices.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 380 unit: def build_ensemble() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 11 id: 381 unit: def get_head() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 382 unit: def get_head() file: research/improve_nas/trainer/fake_data.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 383 unit: def __init__() file: research/improve_nas/trainer/optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 384 unit: def generate_candidates() file: research/improve_nas/trainer/improve_nas.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 5 id: 385 unit: def get_head() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 386 unit: def _operation_to_pooling_type() file: research/improve_nas/trainer/nasnet_utils.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 387 unit: def _update_hparams() file: research/improve_nas/trainer/nasnet.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 388 unit: def name() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 389 unit: def build_subnetwork_train_op() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 8 id: 390 unit: def build_subnetwork_report() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 391 unit: def generate_candidates() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 6 id: 392 unit: def __init__() file: adanet/subnetwork/generator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 393 unit: def __init__() file: adanet/experimental/controllers/sequential_controller.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 394 unit: def work_units() file: adanet/experimental/controllers/controller.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 395 unit: def get_best_models() file: adanet/experimental/controllers/controller.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 396 unit: def __init__() file: adanet/experimental/storages/in_memory_storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 397 unit: def save_model() file: adanet/experimental/storages/in_memory_storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 398 unit: def get_models() file: adanet/experimental/storages/in_memory_storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 1 id: 399 unit: def get_model_metrics() file: adanet/experimental/storages/in_memory_storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 1 id: 400 unit: def __eq__() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 401 unit: def __lt__() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 402 unit: def save_model() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 403 unit: def get_models() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 404 unit: def get_best_models() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 405 unit: def get_model_metrics() file: adanet/experimental/storages/storage.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 406 unit: def get_models() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 407 unit: def get_best_models() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 408 unit: def get_train_dataset() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 409 unit: def get_eval_dataset() file: adanet/experimental/phases/keras_trainer_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 410 unit: def __call__() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 411 unit: def get_models() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 412 unit: def get_best_models() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 413 unit: def get_train_dataset() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 414 unit: def get_eval_dataset() file: adanet/experimental/phases/autoensemble_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 415 unit: def __init__() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 416 unit: def work_units() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 417 unit: def get_train_dataset() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 418 unit: def get_eval_dataset() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 419 unit: def get_models() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 420 unit: def get_best_models() file: adanet/experimental/phases/phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 421 unit: def get_models() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 422 unit: def get_best_models() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 423 unit: def get_train_dataset() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 424 unit: def get_eval_dataset() file: adanet/experimental/phases/keras_tuner_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 425 unit: def get_train_dataset() file: adanet/experimental/phases/input_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 426 unit: def get_eval_dataset() file: adanet/experimental/phases/input_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 427 unit: def work_units() file: adanet/experimental/phases/input_phase.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 428 unit: def submodels() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 429 unit: def call() file: adanet/experimental/keras/ensemble_model.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 430 unit: def run() file: adanet/experimental/keras/model_search.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 431 unit: def get_best_models() file: adanet/experimental/keras/model_search.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 432 unit: def schedule() file: adanet/experimental/schedulers/scheduler.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 433 unit: def execute() file: adanet/experimental/work_units/work_unit.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 434 unit: def __init__() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 435 unit: def before_run() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 436 unit: def name() file: adanet/autoensemble/common.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 437 unit: def before_run() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 438 unit: def after_run() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 439 unit: def after_create_session() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 440 unit: def end() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 441 unit: def __init__() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 442 unit: def begin() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 443 unit: def end() file: adanet/core/estimator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 444 unit: def ensemble_candidate_name() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 445 unit: def ensembler_name() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 446 unit: def global_step() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 447 unit: def subnetworks() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 448 unit: def replay_indices() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 449 unit: def add_subnetwork() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 450 unit: def add_replay_index() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 451 unit: def set_replay_indices() file: adanet/core/architecture.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 452 unit: def should_train() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 453 unit: def _is_done_training() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 454 unit: def _filename_for() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 455 unit: def _should_stop() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 456 unit: def after_run() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 3 id: 457 unit: def begin() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 458 unit: def placement_strategy() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 459 unit: def placement_strategy() file: adanet/core/iteration.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 460 unit: def metric_fns() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 461 unit: def eval_metrics_ops() file: adanet/core/eval_metrics.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 462 unit: def input_fn() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 463 unit: def steps() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 464 unit: def metric_name() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 465 unit: def objective_fn() file: adanet/core/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 466 unit: def name() file: adanet/core/estimator_distributed_test_runner.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 467 unit: def input_fn() file: adanet/core/report_materializer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 468 unit: def steps() file: adanet/core/report_materializer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 469 unit: def summary_simple_value() file: adanet/core/testing_utils.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 470 unit: def scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 471 unit: def namespace() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 472 unit: def namespace() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 473 unit: def scope() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 474 unit: def logdir() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 475 unit: def writer() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 476 unit: def summary_tuples() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 477 unit: def clear_summary_tuples() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 478 unit: def __init__() file: adanet/core/summary.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 479 unit: def config() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 480 unit: def config() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 481 unit: def should_build_ensemble() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 482 unit: def should_build_subnetwork() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 483 unit: def should_train_subnetworks() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 484 unit: def subnetwork_devices() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 485 unit: def _num_workers() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 486 unit: def _worker_index() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 1 id: 487 unit: def __init__() file: adanet/distributed/devices.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 488 unit: def tensor_name() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 489 unit: def is_v2_behavior_enabled() file: adanet/tf_compat/__init__.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 490 unit: def __init__() file: adanet/replay/__init__.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 491 unit: def best_ensemble_indices() file: adanet/replay/__init__.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 492 unit: def generate_ensemble_candidates() file: adanet/ensemble/strategy.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 493 unit: def predictions() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 494 unit: def build_train_op() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 8 id: 495 unit: def _shape() file: research/improve_nas/trainer/cifar10.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 496 unit: def _shape() file: research/improve_nas/trainer/fake_data.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 497 unit: def apply() file: research/improve_nas/trainer/optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 498 unit: def _shape() file: research/improve_nas/trainer/cifar100.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 499 unit: def scalar() file: adanet/core/summary.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 5 id: 500 unit: def image() file: adanet/core/summary.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 6 id: 501 unit: def should_build_ensemble() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2 id: 502 unit: def should_build_subnetwork() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 3 id: 503 unit: def should_train_subnetworks() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2 id: 504 unit: def subnetwork_devices() file: adanet/distributed/placement.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 3 id: 505 unit: def logits() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 1 id: 506 unit: def subnetworks() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 1 id: 507 unit: def name() file: adanet/ensemble/ensembler.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 1 id: 508 unit: def apply() file: research/improve_nas/trainer/optimizer.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2