Index

A

average_precision_score() (src.models.training.Evaluation method)

B

Bert (class in src.embeddings.bert), [1] BM25 (class in src.features.bm25)

bm25() (src.features.bm25.BM25 method) bubble_sort() (in module src.models.pairwise)

C

calculate_ranks() (src.models.training.Evaluation method) characters() (in module src.features.features) collection (src.pipeline.Pipeline attribute), [1] compute_metrics() (src.models.training.Evaluation method) corpus (src.features.bm25.BM25 attribute) corpus_length (src.features.bm25.BM25 attribute) cosine_similarity_score() (in module src.features.features) create_all() (in module src.features.generator) create_bert_embeddings() (in module src.features.generator) (src.pipeline.Pipeline method) create_bert_feature() (in module src.features.generator) (src.pipeline.Pipeline method) create_BM25_features() (src.pipeline.Pipeline method) create_BM2_feature() (in module src.features.generator) create_dataloader() (in module src.models.pairwise) create_glove_embeddings() (in module src.features.generator) (src.pipeline.Pipeline method) create_glove_embeddings_tf_idf_weighted() (in module src.features.generator) create_glove_embeddings_tfidf_weighted() (src.pipeline.Pipeline method) create_glove_feature() (in module src.features.generator) (src.pipeline.Pipeline method) create_interpretation_features() (in module src.features.generator) (src.pipeline.Pipeline method)

create_jaccard_feature() (in module src.features.generator) (src.pipeline.Pipeline method) create_POS_features() (in module src.features.generator) (src.pipeline.Pipeline method) create_sentence_features() (in module src.features.generator) (src.pipeline.Pipeline method) create_test_combinations() (in module src.models.pairwise) create_test_features() (src.pipeline.Pipeline method) create_tfidf_embeddings() (in module src.features.generator) (src.pipeline.Pipeline method) create_tfidf_feature() (in module src.features.generator) (src.pipeline.Pipeline method) create_train_features() (src.pipeline.Pipeline method) create_val_features() (src.pipeline.Pipeline method) create_w2v_embeddings() (in module src.features.generator) (src.pipeline.Pipeline method) create_w2v_embeddings_tf_idf_weighted() (in module src.features.generator) create_w2v_embeddings_tfidf_weighted() (src.pipeline.Pipeline method) create_w2v_feature() (in module src.features.generator) (src.pipeline.Pipeline method) create_w2v_tfidf_feature() (in module src.features.generator) (src.pipeline.Pipeline method)

D

difference() (in module src.features.features)

download() (in module src.data.dataset) download_dataset() (in module src.data.dataset)

E

euclidean_distance_score() (in module src.features.features)

evaluate() (src.pipeline.Pipeline method) Evaluation (class in src.models.training)

F

feature_selection() (src.models.training.Evaluation method) features (src.pipeline.Pipeline attribute), [1] features_test (src.pipeline.Pipeline attribute), [1] features_val (src.pipeline.Pipeline attribute), [1]

fit() (src.embeddings.tfidf.TFIDF method) (src.features.bm25.BM25 method) fitted (src.embeddings.tfidf.TFIDF attribute) forward() (src.models.ranknet.RankNet method), [1] forward_selection() (src.pipeline.Pipeline method)

G

get_synonyms() (in module src.data.preprocessing)

Glove (class in src.embeddings.glove) glove (src.embeddings.glove.Glove attribute)

H

hyperparameter_optimization() (src.models.training.Evaluation method)

I

import_collection() (in module src.data.dataset) import_qrels() (in module src.data.dataset)

import_queries() (in module src.data.dataset) import_training_set() (in module src.data.dataset) import_val_test_queries() (in module src.data.dataset)

J

jaccard() (in module src.features.features)

L

l_avg (src.features.bm25.BM25 attribute)

lemmatization() (in module src.data.preprocessing)

M

manhattan_distance_score() (in module src.features.features) mean_average_precision_score() (src.models.training.Evaluation method) mean_normalized_discounted_cumulative_gain_score() (src.models.training.Evaluation method) mean_reciprocal_rank() (src.models.training.Evaluation method) metrics() (src.models.training.Evaluation method) module src.data.dataset src.data.preprocessing src.embeddings.bert, [1] src.embeddings.glove src.embeddings.tfidf src.features.bm25 src.features.features src.features.generator src.models.pairwise src.models.ranknet src.models.training src.pipeline

N

normalized_discounted_cumulative_gain() (src.models.training.Evaluation method)

num_features (src.models.ranknet.RankNet attribute)

O

occurrences (src.features.bm25.BM25 attribute)

P

pairwise_optimize() (in module src.models.pairwise) path (src.embeddings.tfidf.TFIDF attribute) pca() (in module src.data.preprocessing) Pipeline (class in src.pipeline) polarisation() (in module src.features.features)

POS() (in module src.features.features) predict_proba() (src.features.bm25.BM25 method) (src.models.ranknet.RankNet method), [1] preprocess() (in module src.data.preprocessing) (src.pipeline.Pipeline method) previous_results (src.models.training.Evaluation attribute)

Q

qrels_test (src.pipeline.Pipeline attribute), [1] qrels_val (src.pipeline.Pipeline attribute), [1] queries (src.pipeline.Pipeline attribute), [1]

queries_test (src.pipeline.Pipeline attribute), [1] queries_val (src.pipeline.Pipeline attribute), [1] query_expansion() (in module src.data.preprocessing)

R

RankNet (class in src.models.ranknet)

relative_difference() (in module src.features.features) removal() (in module src.data.preprocessing)

S

save() (src.pipeline.Pipeline method) setup() (src.pipeline.Pipeline method) split_and_scale() (in module src.data.preprocessing) src.data.dataset module src.data.preprocessing module src.embeddings.bert module, [1] src.embeddings.glove module src.embeddings.tfidf module src.features.bm25 module

src.features.features module src.features.generator module src.models.pairwise module src.models.ranknet module src.models.training module src.pipeline module stemming() (in module src.data.preprocessing) subjectivity() (in module src.features.features)

T

TFIDF (class in src.embeddings.tfidf) tokenization() (in module src.data.preprocessing) train_pairwise() (in module src.models.pairwise)

training (src.models.ranknet.RankNet attribute) transform() (src.embeddings.bert.Bert method), [1] (src.embeddings.glove.Glove method) (src.embeddings.tfidf.TFIDF method)

U

unzip() (in module src.data.dataset)

V

vectorizer (src.embeddings.tfidf.TFIDF attribute)

W

words() (in module src.features.features)