Question

我一直在玩Tensorflow库做教程。

我正在使用此example。我更改了示例中的参数：n_classes = 15 对此：n_classes = 2因为我只有两个课程要分类。

我读取的数据如下：

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]

但它会出现以下错误：

Total words: 35
Traceback (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

Answer 1

＆＃34;轴＆＃34;参数刚刚在6月23日添加到tf.unpack中，您正在查看的示例已更改为使用它：

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

所以我建议：

使用该提交之前的旧版本示例，例如： https://github.com/tensorflow/tensorflow/blob/892ca4ddc12852a7b4633fd08f163941356cb4e6/tensorflow/examples/skflow/text_classification_save_restore.py
从github HEAD构建一个更新的Tensorflow。

我希望有所帮助！

Tensorflow错误使用我自己的数据进行文本分类

1 个答案: