Index

_

__init__() (neer_match_utilities.baseline_models.GradientBoostingModel method) (neer_match_utilities.baseline_models.LogitMatchingModel method) (neer_match_utilities.baseline_models.ProbitMatchingModel method) (neer_match_utilities.baseline_training.BaselineTrainingPipe method) (neer_match_utilities.custom_similarities.CustomSimilarities method) (neer_match_utilities.feature_selection.FeatureSelectionResult method) (neer_match_utilities.feature_selection.FeatureSelector method) (neer_match_utilities.model.EpochEndSaver method) (neer_match_utilities.panel.GenerateID method) (neer_match_utilities.panel.SetupData method) (neer_match_utilities.prepare.Prepare method) (neer_match_utilities.similarity_features.SimilarityFeatures method) (neer_match_utilities.training.TrainingPipe method) (neer_match_utilities.training.TrainingPipe.WarmupCosine method)

A

adjust_overlap() (neer_match_utilities.panel.SetupData method)

alpha_balanced() (in module neer_match_utilities.training) assign_ids() (neer_match_utilities.panel.GenerateID method)

B

BaselineTrainingPipe (class in neer_match_utilities.baseline_training)

best_threshold() (neer_match_utilities.baseline_models.GradientBoostingModel method)

C

coef_by_feature (neer_match_utilities.feature_selection.FeatureSelectionResult attribute) combined_loss() (in module neer_match_utilities.training)

create_connected_groups() (neer_match_utilities.panel.SetupData method) CustomSimilarities (class in neer_match_utilities.custom_similarities)

D

data_preparation_panel() (neer_match_utilities.panel.SetupData method)

do_remove_stop_words() (neer_match_utilities.prepare.Prepare method) drop_repetitions() (neer_match_utilities.panel.SetupData static method)

E

EpochEndSaver (class in neer_match_utilities.model) evaluate() (neer_match_utilities.baseline_models.GradientBoostingModel method)

evaluate_dataframe() (neer_match_utilities.training.Training method) execute() (neer_match_utilities.feature_selection.FeatureSelector method) (neer_match_utilities.panel.GenerateID method)

F

FeatureSelectionResult (class in neer_match_utilities.feature_selection) FeatureSelector (class in neer_match_utilities.feature_selection) fit() (neer_match_utilities.baseline_models.GradientBoostingModel method) (neer_match_utilities.baseline_models.LogitMatchingModel method) (neer_match_utilities.baseline_models.ProbitMatchingModel method)

focal_loss() (in module neer_match_utilities.training) format() (neer_match_utilities.prepare.Prepare method) from_config() (neer_match_utilities.training.TrainingPipe.WarmupCosine class method)

G

generate_suggestions() (neer_match_utilities.panel.GenerateID method) GenerateID (class in neer_match_utilities.panel)

GradientBoostingModel (class in neer_match_utilities.baseline_models) group_by_subgroups() (neer_match_utilities.panel.GenerateID method)

H

harmonize_ids() (neer_match_utilities.panel.GenerateID method)

L

load() (neer_match_utilities.model.Model static method)

LogitMatchingModel (class in neer_match_utilities.baseline_models)

M

matches (neer_match_utilities.panel.SetupData attribute) matches_reorder() (neer_match_utilities.training.Training method) meta (neer_match_utilities.feature_selection.FeatureSelectionResult attribute) Model (class in neer_match_utilities.model) ModelBaseline (class in neer_match_utilities.baseline_io) module neer_match_utilities.base neer_match_utilities.baseline_io neer_match_utilities.baseline_models neer_match_utilities.baseline_training neer_match_utilities.custom_similarities neer_match_utilities.feature_selection neer_match_utilities.model neer_match_utilities.panel neer_match_utilities.prepare neer_match_utilities.similarity_features neer_match_utilities.split neer_match_utilities.training

N

neer_match_utilities.base module neer_match_utilities.baseline_io module neer_match_utilities.baseline_models module neer_match_utilities.baseline_training module neer_match_utilities.custom_similarities module neer_match_utilities.feature_selection module neer_match_utilities.model module

neer_match_utilities.panel module neer_match_utilities.prepare module neer_match_utilities.similarity_features module neer_match_utilities.split module neer_match_utilities.training module notmissing() (neer_match_utilities.custom_similarities.CustomSimilarities static method) notzero() (neer_match_utilities.custom_similarities.CustomSimilarities static method)

O

on_epoch_end() (neer_match_utilities.model.EpochEndSaver method)

P

pairwise_similarity_dataframe() (neer_match_utilities.similarity_features.SimilarityFeatures method) panel_preparation() (neer_match_utilities.panel.SetupData method) performance_statistics_export() (neer_match_utilities.training.Training method)

predict_proba() (neer_match_utilities.baseline_models.GradientBoostingModel method) Prepare (class in neer_match_utilities.prepare) ProbitMatchingModel (class in neer_match_utilities.baseline_models)

R

relations_left_right() (neer_match_utilities.panel.GenerateID method)

S

save() (neer_match_utilities.baseline_io.ModelBaseline static method) (neer_match_utilities.model.Model static method) selected_feature_columns (neer_match_utilities.feature_selection.FeatureSelectionResult attribute) selected_pairs (neer_match_utilities.feature_selection.FeatureSelectionResult attribute) SetupData (class in neer_match_utilities.panel) similarity_map (neer_match_utilities.feature_selection.FeatureSelector attribute) similarity_map_to_dict() (in module neer_match_utilities.prepare) SimilarityFeatures (class in neer_match_utilities.similarity_features)

soft_f1_loss() (in module neer_match_utilities.training) split_test_train() (in module neer_match_utilities.split) SplitError subsample_non_matches() (in module neer_match_utilities.similarity_features) suggest() (neer_match_utilities.baseline_models.SuggestMixin method) SuggestMixin (class in neer_match_utilities.baseline_models) summary() (neer_match_utilities.baseline_models.GradientBoostingModel method) synth_mismatches() (in module neer_match_utilities.prepare)

T

to_X_y() (in module neer_match_utilities.similarity_features) tqdm_joblib() (in module neer_match_utilities.feature_selection)

Training (class in neer_match_utilities.training) TrainingPipe (class in neer_match_utilities.training) TrainingPipe.WarmupCosine (class in neer_match_utilities.training)

U

updated_similarity_map (neer_match_utilities.feature_selection.FeatureSelectionResult attribute)