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Functions334 in github.com/castorini/castor

↓ 1 callersMethodcalcIDF
(String query, String answer, boolean analyze)
idf_baseline/src/main/java/ai/castor/idf/IDFScorer.java:84
↓ 1 callersFunctionclear
()
anserini_dependency/js/recorderWorker.js:83
↓ 1 callersFunctioncompute_dfs
(docs)
sm_cnn/overlap_features.py:91
↓ 1 callersFunctioncompute_dfs
(docs)
nce/nce_pairwise_sm/overlap_features.py:91
↓ 1 callersMethodcompute_focus_cube
(self, sim_cube, pad_cube)
vdpwi/model.py:130
↓ 1 callersFunctioncompute_idf_sum_similarity
(questions, answers, term_idfs)
idf_baseline/qa-data-only-idf.py:95
↓ 1 callersFunctioncompute_idfs
(data, dash_split=False)
idf_baseline/qa-data-only-idf.py:53
↓ 1 callersMethodcompute_sim_cube
(self, seq1, seq2)
vdpwi/model.py:100
↓ 1 callersFunctionconvert
(fname, save_file)
utils/build_w2v.py:7
↓ 1 callersFunctionconvertToMono
(input)
anserini_dependency/js/speech.js:69
↓ 1 callersMethodcreate_pad_cube
(self, sent1, sent2)
vdpwi/model.py:85
↓ 1 callersFunctiondiscrete_lerp
(a, b, ground_truth)
vdpwi/utils/preprocess.py:42
↓ 1 callersFunctiondo_random_search
(given_params)
conv_rnn/train.py:121
↓ 1 callersFunctionexportMonoWAV
(type)
anserini_dependency/js/recorderWorker.js:68
↓ 1 callersFunctionexportWAV
(type)
anserini_dependency/js/recorderWorker.js:58
↓ 1 callersFunctionfetch_idfs_from_index
(data, dash_split, indexPath)
idf_baseline/qa-data-only-idf.py:65
↓ 1 callersFunctionfloatTo16BitPCM
(output, offset, input)
anserini_dependency/js/recorderWorker.js:114
↓ 1 callersFunctiongetBuffers
()
anserini_dependency/js/recorderWorker.js:76
↓ 1 callersFunctionget_answers
(question, num_hits, k)
anserini_dependency/api.py:43
↓ 1 callersFunctionget_logger
()
esim/__main__.py:18
↓ 1 callersFunctionget_logger
()
decatt/__main__.py:18
↓ 1 callersFunctionget_logger
()
mp_cnn/__main__.py:19
↓ 1 callersFunctionget_logger
()
sse/__main__.py:18
↓ 1 callersMethodget_options
(self)
idf_baseline/experimental_settings.py:20
↓ 1 callersFunctionget_pairwise_overlap_features
Get overlap, idf weighted overlap, overlap excluding stopwords, and idf weighted overlap excluding stopwords.
datasets/idf_utils.py:29
↓ 1 callersFunctionget_pairwise_word_to_doc_freq
Get pairwise word to document frequency. For index i, if sentence i in sent_list_1 and sentence i in sent_list_2 both container word w, t
datasets/idf_utils.py:12
↓ 1 callersFunctionget_param
()
nce/nce_pairwise_mp/train_script.py:7
↓ 1 callersMethodget_scores
(self)
nce/nce_pairwise_mp/evaluators/qa_evaluator.py:12
↓ 1 callersFunctionhard_pad2d
(x, pad)
vdpwi/model.py:7
↓ 1 callersFunctioninit
(config)
anserini_dependency/js/recorderWorker.js:48
↓ 1 callersMethodinit_weight
(self)
esim/model.py:173
↓ 1 callersMethodinit_weight
(self)
decatt/model.py:56
↓ 1 callersFunctioninterleave
(inputL, inputR)
anserini_dependency/js/recorderWorker.js:99
↓ 1 callersMethodlist_settings
lists all settings
idf_baseline/experimental_settings.py:107
↓ 1 callersMethodload_embed_data
(self)
conv_rnn/data.py:19
↓ 1 callersMethodlookup
(self, sentences)
conv_rnn/model.py:98
↓ 1 callersFunctionmain
()
vdpwi/utils/tune.py:27
↓ 1 callersFunctionmain
()
vdpwi/utils/preprocess.py:66
↓ 1 callersFunctionmain
()
conv_rnn/train.py:138
↓ 1 callersFunctionmain
()
conv_rnn/test.py:13
↓ 1 callersFunctionpack_for_rnn_seq
:param inputs: [T * B * D] :param lengths: [B] :return:
utils/torch_util.py:20
↓ 1 callersFunctionpreprocess
(filename, output_name="sim_sparse.txt")
vdpwi/utils/preprocess.py:53
↓ 1 callersMethodpreprocess
(self, sentences)
conv_rnn/model.py:50
↓ 1 callersMethodrandom_param_set
(self)
vdpwi/utils/tune.py:8
↓ 1 callersFunctionrecord
(inputBuffer)
anserini_dependency/js/recorderWorker.js:52
↓ 1 callersFunctionremove_punctuation
(sentence)
idf_baseline/qa-data-only-idf.py:34
↓ 1 callersFunctionrun
(device, epochs, neg_sample, neg_num, dataset, dev_log_interval, batch_size)
nce/nce_pairwise_mp/train_script.py:13
↓ 1 callersMethodrun_all
runs all experiments
idf_baseline/experimental_settings.py:101
↓ 1 callersFunctionsmoothed_labels
(truth, n_labels)
vdpwi/utils/preprocess.py:50
↓ 1 callersFunctionsplit_hyphenated_words
(sentence)
idf_baseline/qa-data-only-idf.py:23
↓ 1 callersFunctionsst_tokenize
(sentence)
conv_rnn/data.py:8
↓ 1 callersMethodstart
(self)
vdpwi/utils/tune.py:19
↓ 1 callersFunctionstem
(sentence)
sm_cnn/external_features.py:36
↓ 1 callersFunctionstop
(sentence)
sm_cnn/external_features.py:27
↓ 1 callersFunctionstop_stem
(sentence)
idf_baseline/qa-data-only-idf.py:46
↓ 1 callersFunctiontgt_loc_update
(x)
vdpwi/utils/preprocess.py:24
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/sts2014_trainer.py:41
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/msrvid_trainer.py:58
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/sst_trainer.py:69
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/sick_trainer.py:41
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/quora_trainer.py:39
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/snli_trainer.py:39
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/qa_trainer.py:42
↓ 1 callersMethodtrain
(self, epochs)
common/trainers/pit2015_trainer.py:42
↓ 1 callersMethodtrain_epoch
(self, epoch)
nce/nce_pairwise_mp/trainers/qa_trainer.py:33
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/sts2014_trainer.py:13
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/msrvid_trainer.py:15
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/sst_trainer.py:24
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/sick_trainer.py:13
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/quora_trainer.py:11
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/snli_trainer.py:11
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/qa_trainer.py:12
↓ 1 callersMethodtrain_epoch
(self, epoch)
common/trainers/pit2015_trainer.py:12
↓ 1 callersFunctiontrain_sm
()
nce/nce_pairwise_sm/train.py:40
↓ 1 callersFunctionunpack_from_rnn_seq
(packed_seq, reverse_indices)
utils/torch_util.py:47
↓ 1 callersFunctionupdateAnalysers
(time)
anserini_dependency/js/speech.js:84
↓ 1 callersMethodwriteToFile
(IDFScorer.Args args)
idf_baseline/src/main/java/ai/castor/idf/IDFScorer.java:121
MethodFetchTermIDF
(FetchTermIDF.Args args)
idf_baseline/src/main/java/ai/castor/idf/FetchTermIDF.java:57
MethodIDFScorer
(IDFScorer.Args args)
idf_baseline/src/main/java/ai/castor/idf/IDFScorer.java:63
FunctionRecorder
(source, cfg)
anserini_dependency/js/recorder.js:23
Method__getitem__
(self, idx)
vdpwi/data.py:52
Method__getitem__
(self, index)
conv_rnn/data.py:46
Method__init__
(self, sentence_indices1, sentence_indices2, labels, compare_labels=None)
vdpwi/data.py:45
Method__init__
(self, config)
vdpwi/model.py:43
Method__init__
(self, dim, config)
vdpwi/model.py:74
Method__init__
(self, run_name_fmt="run_{}")
vdpwi/utils/log.py:7
Method__init__
(self, param_sets)
vdpwi/utils/tune.py:5
Method__init__
(self, *iterators, limit=500)
vdpwi/utils/tune.py:15
Method__init__
(self, args)
sm_cnn/bridge.py:23
Method__init__
(self, config)
sm_cnn/model.py:7
Method__init__
(self, model, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None)
nce/nce_pairwise_mp/trainers/trecqa_trainer.py:6
Method__init__
(self, model, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None)
nce/nce_pairwise_mp/trainers/wikiqa_trainer.py:6
Method__init__
(self, model, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None, weighting=Fal
nce/nce_pairwise_mp/trainers/qa_trainer.py:13
Method__init__
(self, dataset_cls, model, data_loader, batch_size, device, keep_results=False)
nce/nce_pairwise_mp/evaluators/trecqa_evaluator.py:6
Method__init__
(self, dataset_cls, model, data_loader, batch_size, device, keep_results=False)
nce/nce_pairwise_mp/evaluators/wikiqa_evaluator.py:6
Method__init__
(self, dataset_cls, model, data_loader, batch_size, device)
nce/nce_pairwise_mp/evaluators/qa_evaluator.py:9
Method__init__
(self, model)
nce/nce_pairwise_sm/model.py:8
Method__init__
(self, device, in_dim, mem_dim)
esim/model.py:38
Method__init__
Create the model based on MLP networks. :param num_units: size of the networks :param num_classes: number of classes in the p
esim/model.py:114
Method__init__
(self, params)
conv_rnn/train.py:15
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