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Functions145 in github.com/brightmart/multi-label_classification

Methodget_dev_examples
See base class.
run_classifier.py:261
Methodget_dev_examples
See base class.
run_classifier.py:302
Methodget_dev_examples
See base class.
run_classifier.py:342
Methodget_dev_examples
See base class.
run_classifier.py:781
Methodget_dev_examples
See base class.
run_classifier.py:826
Methodget_dev_examples
Gets a collection of `InputExample`s for the dev set.
zuo/run_classifier_predict_online.py:102
Methodget_dev_examples
See base class.
zuo/run_classifier_predict_online.py:136
Methodget_embedding_output
Gets output of the embedding lookup (i.e., input to the transformer). Returns: float Tensor of shape [batch_size, seq_length, hidden_size]
bert/modeling.py:249
Methodget_embedding_table
(self)
bert/modeling.py:260
Functionget_label_list
:param labels_prob_1: {'LB1': 0.0016595844645053148, 'LB2': 0.11449998617172241, 'LB3': 0.003680239664390683, :param labels_prob_2: {'LB1':
main.py:87
Methodget_labels
See base class.
run_classifier.py:248
Methodget_labels
See base class.
run_classifier.py:272
Methodget_labels
See base class.
run_classifier.py:312
Methodget_labels
See base class.
run_classifier.py:352
Methodget_labels
See base class.
run_classifier.py:791
Methodget_labels
See base class.
run_classifier.py:836
Methodget_labels
See base class.
zuo/run_classifier_predict_online.py:146
Methodget_sequence_output
Gets final hidden layer of encoder. Returns: float Tensor of shape [batch_size, seq_length, hidden_size] corresponding to the final h
bert/modeling.py:237
Methodget_test_examples
See base class.
run_classifier.py:267
Methodget_test_examples
See base class.
run_classifier.py:307
Methodget_test_examples
See base class.
run_classifier.py:347
Methodget_test_examples
See base class.
run_classifier.py:786
Methodget_test_examples
See base class.
run_classifier.py:831
Methodget_test_examples
Gets a collection of `InputExample`s for prediction.
zuo/run_classifier_predict_online.py:106
Methodget_test_examples
See base class.
zuo/run_classifier_predict_online.py:141
Methodget_train_examples
See base class.
run_classifier.py:211
Methodget_train_examples
See base class.
run_classifier.py:256
Methodget_train_examples
See base class.
run_classifier.py:297
Methodget_train_examples
See base class.
run_classifier.py:337
Methodget_train_examples
See base class.
run_classifier.py:775
Methodget_train_examples
See base class.
run_classifier.py:820
Methodget_train_examples
Gets a collection of `InputExample`s for the train set.
zuo/run_classifier_predict_online.py:98
Methodget_train_examples
See base class.
zuo/run_classifier_predict_online.py:131
Functioninput_fn
The actual input function.
run_classifier.py:533
Functioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier.py:719
Functionmain
(_)
run_classifier.py:877
Functionmain
(_)
zuo/run_classifier_predict_online.py:337
Functionmetric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier.py:690
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_classifier.py:630
Functionprintable_text
Returns text encoded in a way suitable for print or `tf.logging`.
bert/tokenization.py:98
Methodto_json_string
Serializes this instance to a JSON string.
bert/modeling.py:102
Methodtokenize
Tokenizes a piece of text.
bert/tokenization.py:198
Methodtokenize
Tokenizes a piece of text into its word pieces. This uses a greedy longest-match-first algorithm to perform tokenization using the given voca
bert/tokenization.py:310
Functiontpu_scaffold
()
run_classifier.py:661
Functionvalidate_case_matches_checkpoint
Checks whether the casing config is consistent with the checkpoint name.
bert/tokenization.py:28
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