multi-class-text-classification-cnn-rnn
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jiegzhan
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
[root@bdl02node04 multi-class-text-classification-cnn-rnn-master]# python train.py CRITICAL:root:The maximum length is 14 INFO:root:x_train: 711219, x_dev: 79025, x_test: 87805 INFO:root:y_train: 711219, y_dev: 79025, y_test: 87805 W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use...
Could you tell me roughly what score you reach using this method? Thanks
(tensorflow) F:\Postgraduate\KaggleLearning\multi-class-text-classification-cnn-rnn-master\multi-class-text-classification-cnn-rnn-master>python predict.py ./t rained_results_1541818386/ ./data2/samples.csv D:\Anaconda\anaconda\envs\tensorflow\lib\site-packages\gensim\utils.py:1212: UserWarning: detected Windows; aliasing chunkize to chunkize_serial warnings.warn("detected Windows; aliasing chunkize to chunkize_serial") Traceback (most recent call last): File "predict.py", line 141, in...
I wish to get raw probabilities of each class, instead of argmax() returning the index for highest probability. request you to kindly help me in using softmax() in the predict.py....
Hi Jie getting below error any idea who to rectify this error: NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ./checkpoints_1517652366/model-0 [[Node: save/RestoreV2_36...
Hi, I'm getting some errors with Tensorflow 1.0 I ran the tensorflow upgrade script. This fixed the argument order error for concat. However now I get: AttributeError: module 'tensorflow.python.ops.nn' has...
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'...
Has anyone tried to visualize text embeddings in tensorboard ? Any guidence on how to implement it ? Thanks
Hey, Hope you are all well ! Is it possible to have a demo web-server to predict classes from the trained model from the browser for a single short text...
