Functions — github.com/alexeygrigorev/avito-duplicates-kaggle

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Functions348 in github.com/alexeygrigorev/avito-duplicates-kaggle

⨍ Functions 348◇ Types & classes 9

↓ 67 callersMethodfit

Parameters ---------- X : sparse matrix, [n_samples, n_features] document-term matrix

bm25.py:32

↓ 66 callersMethodtransform

Parameters ---------- X : sparse matrix, [n_samples, n_features] document-term matrix copy : boolean, optional (defau

bm25.py:51

↓ 25 callersMethodprocess_parallel

:param function: function to apply :param collection: one collection to which the function is applied. If this is set,

avito_utils.py:73

↓ 20 callersFunctionsigmoid

(pred)

calculate_dimred_features.py:34

↓ 19 callersMethodclose

(self)

avito_utils.py:63

↓ 14 callersMethodget_df_by_ids

(self, table_name, ids_list, columns=None, index_col='_id')

mongo_utils.py:52

↓ 14 callersFunctionsigmoid

(pred)

calculate_common_tokens.py:48

↓ 13 callersFunctioncolumns_with

(cols, text)

model_random_et.py:55

↓ 13 callersFunctioncolumns_with

(cols, text)

model_random_xgb.py:64

↓ 13 callersMethodjoin

(self)

avito_utils.py:64

↓ 12 callersFunctionprocess_parallel

(pool, series, function)

mongo_put_iteminfo.py:22

↓ 11 callersFunctionpeek_columns

(csv)

model_random_et.py:52

↓ 11 callersFunctionpeek_columns

(csv)

model_random_xgb.py:61

↓ 10 callersMethodmap

(self, f, it)

avito_utils.py:61

↓ 9 callersMethodclose

(self)

avito_utils.py:98

↓ 9 callersFunctioncompute_vector_features

(name, series1, series2, tfidf_transform, svd, top_n_diff, results)

calculate_text_features.py:115

↓ 9 callersMethodselect

(self, table_name, columns, include_id=True, batch_size=10000)

mongo_utils.py:32

↓ 9 callersMethodtable

(self, name)

mongo_utils.py:17

↓ 8 callersFunctioncol_sum_mask

(X, mask)

calculate_common_tokens.py:483

↓ 8 callersFunctionimage_stats_features

(pref, in_dict, out_dict={})

mongo_put_images.py:47

↓ 8 callersFunctionmoment_features

(pref, in_dict, out_dict={})

mongo_put_images.py:21

↓ 8 callersFunctionsafe_div

(series1, series2)

mongo_put_iteminfo.py:70

↓ 7 callersFunctiongenerate_simple_match

(series_1, series_2, prefix, result)

calculate_important_tokens_features.py:72

↓ 7 callersFunctionhex_to_int

(h)

calculate_imagehash_features.py:26

↓ 6 callersFunctioncompose2

(f, g)

calculate_text_features.py:27

↓ 6 callersFunctionnormalize

(s)

prepare_attrs_tfidf.py:42

↓ 6 callersFunctionset_to_str

(s)

prepare_common_tokens.py:145

↓ 5 callersFunctionadd_svd_features

(X_train, X_test, n, name)

calculate_common_tokens.py:406

↓ 5 callersFunctioncalc_jaccard

(set1, set2, lam=0)

calculate_contact_features.py:18

↓ 5 callersFunctioncount_ones

(integer)

calculate_imagehash_features.py:22

↓ 5 callersFunctionextract_parentesis

(s)

mongo_put_images.py:13

↓ 5 callersFunctionrand_empty

(l, p=0.5)

model_random_et.py:65

↓ 5 callersFunctionrand_empty

(l, p=0.5)

model_random_xgb.py:74

↓ 4 callersMethodreadCsv

(String fileName)

java-features/src/main/java/Utils.java:39

↓ 4 callersFunctionsame_nan

(series1, series2)

calculate_chargram_features.py:61

↓ 4 callersFunctionsent2vec

(words)

calculate_w2v_features.py:48

↓ 3 callersFunctioncompute_jaccard_features

(name, series1, series2, results)

calculate_text_features.py:107

↓ 3 callersFunctioncount_chars

(ctr, chars)

mongo_put_iteminfo.py:55

↓ 3 callersFunctiondelete_file_if_exists

(filename)

calculate_java-image_features.py:163

↓ 3 callersFunctionen_chars_cnt

(s)

prepare_text_features.py:88

↓ 3 callersFunctionget_model

lazy initialization for glove model so it works in pool

calculate_glove_features.py:47

↓ 3 callersFunctionget_model

lazy initialization for w2v model so it works in pool

calculate_w2v_features.py:30

↓ 3 callersMethoditemInfoData

()

java-features/src/main/java/Utils.java:27

↓ 3 callersFunctionjitter

(val, spread)

model_random_xgb.py:36

↓ 3 callersFunctionkeep_common

(s1, s2)

prepare_common_tokens.py:139

↓ 3 callersFunctionkeep_diff

(s1, s2)

prepare_common_tokens.py:142

↓ 3 callersFunctionrestore_string

(idx_list)

prepare_text_tfidf.py:92

↓ 3 callersFunctionru_chars_cnt

(s)

prepare_text_features.py:91

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_imagemagick_features.py:238

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_text_features.py:207

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_misspelling_features.py:214

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_fuzzy_features.py:65

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_glove_features.py:172

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_w2v_features.py:203

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_ssim_features.py:138

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_important_tokens_features.py:165

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_whash_features.py:108

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_chargram_features.py:134

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_contact_features.py:93

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_attrs_features.py:101

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_imagehash_features.py:152

↓ 2 callersFunctionappend_to_csv

(batch, csv_file)

calculate_w2v_wmd_features.py:130

↓ 2 callersFunctionchar_ngrams

(s)

prepare_text_features.py:15

↓ 2 callersFunctionclean_tokens_list

(tokens_list)

prepare_common_tokens.py:44

↓ 2 callersFunctionclean_tokens_list

(tokens_list)

prepare_text_tfidf.py:45

↓ 2 callersFunctioncompute_vector_features

(name, series1, series2, tfidf, svd, results)

calculate_attrs_features.py:35

↓ 2 callersFunctioncross_entropy

(h1, h2)

calculate_imagehash_features.py:62

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_imagemagick_features.py:234

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_text_features.py:214

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_misspelling_features.py:221

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_fuzzy_features.py:72

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_glove_features.py:179

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_w2v_features.py:210

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_ssim_features.py:145

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_important_tokens_features.py:172

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_whash_features.py:115

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_contact_features.py:100

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_attrs_features.py:108

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_imagehash_features.py:159

↓ 2 callersFunctiondelete_file_if_exists

(filename)

calculate_w2v_wmd_features.py:137

↓ 2 callersFunctionentropy

(h)

calculate_imagehash_features.py:46

↓ 2 callersMethodextractLinks

(String line)

java-features/src/main/java/ContactDetailExtractor.java:50

↓ 2 callersMethodextractMisspellingFeatures

(JLanguageTool langTool, String text)

java-features/src/main/java/SpellingMistakesFeatures.java:78

↓ 2 callersFunctionextract_image_id

(file_path)

prepare_imagemagick_features.py:12

↓ 2 callersFunctiongenerate_match_features

(series_1, series_2, prefix, result)

calculate_important_tokens_features.py:86

↓ 2 callersMethodgetImages

(String[] imageIds)

java-features/src/main/java/ImageFeatures.java:271

↓ 2 callersMethodget_by_ids

(self, table_name, ids_list, columns=None)

mongo_utils.py:42

↓ 2 callersFunctionget_model

lazy initialization for w2v model so it works in pool

calculate_w2v_wmd_features.py:30

↓ 2 callersMethodhistograms

(Map<String, MBFImage> images)

java-features/src/main/java/ImageFeatures.java:257

↓ 2 callersMethodinputFolder

()

java-features/src/main/java/Utils.java:52

↓ 2 callersFunctionint_to_str

(h)

calculate_whash_features.py:42

↓ 2 callersFunctionitems_prepare

(items, columns_suffix)

calculate_misspelling_features.py:105

↓ 2 callersMethodjoin

(Collection<?> col, String delim)

java-features/src/main/java/com/twitter/Regex.java:224

↓ 2 callersMethodkeypoints

(Map<String, MBFImage> images)

java-features/src/main/java/ImageFeatures.java:224

↓ 2 callersFunctionlemmatize_pos

(word)

prepare_text_features.py:168

↓ 2 callersFunctiononly_in_model

(words)

calculate_glove_features.py:65

↓ 2 callersFunctiononly_in_model

(words)

calculate_w2v_features.py:54

↓ 2 callersFunctiononly_in_model

(words)

calculate_w2v_wmd_features.py:48

↓ 2 callersFunctionprepare_batches

(df, n)

calculate_imagemagick_features.py:230

↓ 2 callersFunctionprepare_batches

(df, n)

calculate_text_features.py:202

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