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jiegzhan / multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
https://www.kaggle.com/c/sf-crime/data
Apache License 2.0
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don't work with python2.7 and tensorflow0.9 #15

Open mjqgit opened 7 years ago

mjqgit commented 7 years ago

Traceback (most recent call last): File "/home/mjq/PycharmProjects/multi-class-text/multi-class-text-classification-cnn-rnn/train.py", line 167, in train_cnn_rnn() File "/home/mjq/PycharmProjects/multi-class-text/multi-class-text-classification-cnn-rnn/train.py", line 63, in train_cnn_rnn l2_reg_lambda=params['l2_reg_lambda']) File "/home/mjq/PycharmProjects/multi-class-text/multi-class-text-classification-cnn-rnn/text_cnn_rnn.py", line 56, in init lstm_cell = tf.contrib.rnn.DropoutWrapper(lstm_cell, output_keep_prob=self.dropout_keep_prob) AttributeError: 'module' object has no attribute 'DropoutWrapper'

Dhrumil1808 commented 6 years ago

Instead of this: lstm_cell = tf.contrib.rnn.DropoutWrapper(lstm_cell, output_keep_prob=self.dropout_keep_prob)

Use this: lstm_cell = tf.nn.rnn_cell.DropoutWrapper(lstm_cell, output_keep_prob=self.dropout_keep_prob)