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github.com/brightmart/multi-label_classification
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Functions
145 in github.com/brightmart/multi-label_classification
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Functions
145
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Types & classes
20
Method
get_dev_examples
See base class.
run_classifier.py:261
Method
get_dev_examples
See base class.
run_classifier.py:302
Method
get_dev_examples
See base class.
run_classifier.py:342
Method
get_dev_examples
See base class.
run_classifier.py:781
Method
get_dev_examples
See base class.
run_classifier.py:826
Method
get_dev_examples
Gets a collection of `InputExample`s for the dev set.
zuo/run_classifier_predict_online.py:102
Method
get_dev_examples
See base class.
zuo/run_classifier_predict_online.py:136
Method
get_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
Method
get_embedding_table
(self)
bert/modeling.py:260
Function
get_label_list
:param labels_prob_1: {'LB1': 0.0016595844645053148, 'LB2': 0.11449998617172241, 'LB3': 0.003680239664390683, :param labels_prob_2: {'LB1':
main.py:87
Method
get_labels
See base class.
run_classifier.py:248
Method
get_labels
See base class.
run_classifier.py:272
Method
get_labels
See base class.
run_classifier.py:312
Method
get_labels
See base class.
run_classifier.py:352
Method
get_labels
See base class.
run_classifier.py:791
Method
get_labels
See base class.
run_classifier.py:836
Method
get_labels
See base class.
zuo/run_classifier_predict_online.py:146
Method
get_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
Method
get_test_examples
See base class.
run_classifier.py:267
Method
get_test_examples
See base class.
run_classifier.py:307
Method
get_test_examples
See base class.
run_classifier.py:347
Method
get_test_examples
See base class.
run_classifier.py:786
Method
get_test_examples
See base class.
run_classifier.py:831
Method
get_test_examples
Gets a collection of `InputExample`s for prediction.
zuo/run_classifier_predict_online.py:106
Method
get_test_examples
See base class.
zuo/run_classifier_predict_online.py:141
Method
get_train_examples
See base class.
run_classifier.py:211
Method
get_train_examples
See base class.
run_classifier.py:256
Method
get_train_examples
See base class.
run_classifier.py:297
Method
get_train_examples
See base class.
run_classifier.py:337
Method
get_train_examples
See base class.
run_classifier.py:775
Method
get_train_examples
See base class.
run_classifier.py:820
Method
get_train_examples
Gets a collection of `InputExample`s for the train set.
zuo/run_classifier_predict_online.py:98
Method
get_train_examples
See base class.
zuo/run_classifier_predict_online.py:131
Function
input_fn
The actual input function.
run_classifier.py:533
Function
input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier.py:719
Function
main
(_)
run_classifier.py:877
Function
main
(_)
zuo/run_classifier_predict_online.py:337
Function
metric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier.py:690
Function
model_fn
The `model_fn` for TPUEstimator.
run_classifier.py:630
Function
printable_text
Returns text encoded in a way suitable for print or `tf.logging`.
bert/tokenization.py:98
Method
to_json_string
Serializes this instance to a JSON string.
bert/modeling.py:102
Method
tokenize
Tokenizes a piece of text.
bert/tokenization.py:198
Method
tokenize
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
Function
tpu_scaffold
()
run_classifier.py:661
Function
validate_case_matches_checkpoint
Checks whether the casing config is consistent with the checkpoint name.
bert/tokenization.py:28
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