使用自己的数据进行文本分类的Tensorflow错误

我一直在使用Tensorflow库进行教程练习。

我使用了这个示例。我将示例中的参数从n_classes = 15改为n_classes = 2,因为我只有两个类需要分类。

我读取数据的方式如下:

train = pandas.read_csv('tensorflow_feed/test/train_with_abs.csv', header=None)X_train, y_train = train[1], train[0]test = pandas.read_csv('tensorflow_feed/test/test_with_abs.csv', header=None)X_test, y_test = test[1], test[0]

但这引发了以下错误:

Total words: 35Traceback (most recent call last):  File "/home/sumit/PycharmProjects/experiments/text_classification_save_restore.py", line 94, in <module>    classifier.fit(X_train, y_train)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/base.py", line 160, in fit    monitors=monitors)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 449, in _train_model    train_op, loss_op = self._get_train_ops(features, targets)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 673, in _get_train_ops    _, loss, train_op = self._call_model_fn(features, targets, ModeKeys.TRAIN)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 656, in _call_model_fn    features, targets, mode=mode)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/base.py", line 369, in _model_fn    predictions, loss = model_fn(features, targets)  File "/home/sumit/PycharmProjects/experiments/text_classification_save_restore.py", line 73, in rnn_model    word_list = tf.unpack(word_vectors, axis=1)TypeError: unpack() got an unexpected keyword argument 'axis'Process finished with exit code 1

回答:

“axis”参数是在6月23日才添加到tf.unpack中的,而你查看的示例已被修改以使用它:

https://github.com/tensorflow/tensorflow/commit/eff93149a6dc8e6826898fd9f9c28c81e21c9836

所以我建议你可以:

希望这对你有帮助!

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