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我对python和skflow很陌生,但我遇到了一个非常基本的问题,希望有人能帮助我。skflow示例抛出错误
我已经安装了skflow并下载了示例中使用的dbpedia_csv。但是一旦运行了“text_classification_character_rnn.py”例如,我打一个错误:
Traceback (most recent call last):
File "/home/me/Projects/skflow/examples/text_classification_character_rnn.py", line 70, in <module>
classifier.fit(X_train, y_train)
File "/home/me/Projects/skflow/skflow/estimators/base.py", line 217, in fit
self._setup_training()
File "/home/me/Projects/skflow/skflow/estimators/base.py", line 148, in _setup_training
self._inp, self._out)
File "/home/me/Projects/skflow/examples/text_classification_character_rnn.py", line 63, in char_rnn_model
return skflow.models.logistic_regression(encoding, y)
File "/home/me/Projects/skflow/skflow/models.py", line 65, in logistic_regression
tf.histogram_summary('logistic_regression.X', X)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/summary_ops.py", line 39, in histogram_summary
tag=tag, values=values, name=scope)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_summary_ops.py", line 34, in _histogram_summary
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 397, in apply_op
values, name=input_arg.name, dtype=dtype)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 468, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/constant_op.py", line 143, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 287, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 227, in _AssertCompatible
(dtype.name, mismatch))
TypeError: Expected float32, got <tensorflow.python.framework.ops.Tensor object at 0x7f415dfcc290> instead.
任何的想法是什么,我做错了什么?此外,text_classification_cnn.py
正在工作,但print('Accuracy: {0:f}'.format(score))
没有打印准确性。我使用PyCharm Edu 2.0.3来运行代码。
太棒了!这固定它。除了打印Accuracy或'classifier.save('./ path')'我可以抛出分类器的结果吗?我想它会是一个索引数组0或1指向分类结果? – GameOfThrows
你的意思是“对特定示例(或一批示例)的分类器结果的转储”?在这种情况下,我想你会使用'classifer.predict(...)'来得到一个预测(或一批预测)。 (虽然我不是skflow用户,所以可能会有更好的答案。) – mrry
我猜想一批示例,所以'classifer.predict'实际上是输出?输出/保存这个的最佳方式是什么? – GameOfThrows