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Types & classes45 in github.com/brightmart/text_classification

⨍ Functions 642◇ Types & classes 45
↓ 17 callersClassTextCNN
a02_TextCNN/p7_TextCNN_model.py:7
↓ 7 callersClassInputExample
A single training/test example for simple sequence classification.
a00_Bert/unused/run_classifier_multi_labels_bert.py:135
↓ 5 callersClassDynamicMemoryNetwork
a09_DynamicMemoryNet/a8_dynamic_memory_network.py:16
↓ 5 callersClassEntityNetwork
a08_EntityNetwork/a3_entity_network.py:10
↓ 5 callersClassTransformer
a07_Transformer/a2_transformer.py:33
↓ 4 callersClassTransformer
a07_Transformer/a2_transformer_classification.py:32
↓ 3 callersClassEncoder
a07_Transformer/a2_encoder.py:13
↓ 3 callersClassMultiHeadAttention
multi head attention
a07_Transformer/a2_multi_head_attention.py:17
↓ 3 callersClassTextRCNN
a04_TextRCNN/p71_TextRCNN_mode2.py:6
↓ 3 callersClassTextRNN
a03_TextRNN/p8_TextRNN_model.py:7
↓ 3 callersClassseq2seq_attention_model
a06_Seq2seqWithAttention/a1_seq2seq_attention_model.py:10
↓ 2 callersClassAttentionEncoderDecoder
a07_Transformer/a2_attention_between_enc_dec.py:13
↓ 2 callersClassDecoder
a07_Transformer/a2_decoder.py:18
↓ 2 callersClassHierarchicalAttention
a05_HierarchicalAttentionNetwork/p1_HierarchicalAttention_model.py:7
↓ 2 callersClassHierarchicalAttention
a05_HierarchicalAttentionNetwork/p1_HierarchicalAttention_model_transformer.py:8
↓ 2 callersClassLayerNormResidualConnection
a07_Transformer/a2_layer_norm_residual_conn.py:6
↓ 2 callersClassPositionWiseFeedFoward
position-wise feed forward networks. formula as below: FFN(x)=max(0,xW1+b1)W2+b2
a07_Transformer/a2_poistion_wise_feed_forward.py:16
↓ 2 callersClassTextCNN_with_RCNN
aa4_TextCNN_with_RCNN/p72_TextCNN_with_RCNN_model.py:8
↓ 1 callersClassAdamWeightDecayOptimizer
A basic Adam optimizer that includes "correct" L2 weight decay.
a00_Bert/optimization.py:84
↓ 1 callersClassBasicTokenizer
Runs basic tokenization (punctuation splitting, lower casing, etc.).
a00_Bert/tokenization.py:134
↓ 1 callersClassBertConfig
Configuration for `BertModel`.
a00_Bert/bert_modeling.py:30
↓ 1 callersClassBiLstmTextRelation
aa5_BiLstmTextRelation/p9_BiLstmTextRelation_model.py:12
↓ 1 callersClassHierarchicalAttention
a05_HierarchicalAttentionNetwork/HAN_model.py:8
↓ 1 callersClassInputExample
A single training/test example for simple sequence classification.
a00_Bert/run_classifier_predict_online.py:56
↓ 1 callersClassInputFeatures
A single set of features of data.
a00_Bert/run_classifier_predict_online.py:76
↓ 1 callersClassInputFeatures
A single set of features of data.
a00_Bert/unused/run_classifier_multi_labels_bert.py:156
↓ 1 callersClassTextRCNN
a04_TextRCNN/p71_TextRCNN_model.py:6
↓ 1 callersClassTextRNN
a03_TextRNN/p8_TextRNN_model_multi_layers.py:7
↓ 1 callersClassTwoCNNTextRelation
aa6_TwoCNNTextRelation/p9_twoCNNTextRelation_model.py:9
↓ 1 callersClassWordpieceTokenizer
Runs WordPiece tokenziation.
a00_Bert/tokenization.py:249
↓ 1 callersClassfastTextB
a01_FastText/old_single_label/p5_fastTextB_model.py:7
ClassBaseClass
base class has some common fields and functions.
a07_Transformer/a2_base_model.py:6
ClassBertModel
BERT model ("Bidirectional Embedding Representations from a Transformer"). Example usage: ```python # Already been converted into WordPiece to
a00_Bert/bert_modeling.py:106
ClassColaProcessor
Processor for the CoLA data set (GLUE version).
a00_Bert/unused/run_classifier_multi_labels_bert.py:325
ClassDataProcessor
Base class for data converters for sequence classification data sets.
a00_Bert/run_classifier_predict_online.py:86
ClassDataProcessor
Base class for data converters for sequence classification data sets.
a00_Bert/unused/run_classifier_multi_labels_bert.py:166
ClassFullTokenizer
Runs end-to-end tokenziation.
a00_Bert/tokenization.py:110
ClassMnliProcessor
Processor for the MultiNLI data set (GLUE version).
a00_Bert/unused/run_classifier_multi_labels_bert.py:244
ClassMrpcProcessor
Processor for the MRPC data set (GLUE version).
a00_Bert/unused/run_classifier_multi_labels_bert.py:285
ClassSentencePairClassificationProcessor
Processor for the internal data set. sentence pair classification
a00_Bert/run_classifier_predict_online.py:115
ClassSentencePairClassificationProcessor
Processor for the internal data set. sentence pair classification
a00_Bert/unused/run_classifier_multi_labels_bert.py:414
ClassSentimentAnalysisFineGrainProcessor
Processor for the CoLA data set (GLUE version).
a00_Bert/unused/run_classifier_multi_labels_bert.py:365
ClassTextCNNMultilayers
a02_TextCNN/other_experiement/p7_TextCNN_model_multilayers.py:7
ClassXnliProcessor
Processor for the XNLI data set.
a00_Bert/unused/run_classifier_multi_labels_bert.py:196
ClassfastTextB
a01_FastText/p6_fastTextB_model_multilabel.py:6