【问题标题】:How to install tflearn, Anaconda Ubuntu 16.04如何安装 tflearn、Anaconda Ubuntu 16.04
【发布时间】:2018-02-19 00:31:24
【问题描述】:

我在 ubuntu 16.04 上使用 Anaconda。 我在终端上尝试 pip install tflearn 并说好的。 但是,如果我尝试检查 tflearn 版本,我会收到此日志。 感谢您提供解决此问题的任何提示。

Traceback (most recent call last):
  File "/media/libardo/Datos/Proyectos/Libardo/2017/Proyectos/Kaggle/MBA/prueba_TF_Version.py", line 12, in <module>
    import tflearn as tfl; print(tfl.__version__)
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tflearn/__init__.py", line 4, in <module>
    from . import config
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tflearn/config.py", line 5, in <module>
    from .variables import variable
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tflearn/variables.py", line 7, in <module>
    from tensorflow.contrib.framework.python.ops import add_arg_scope as contrib_add_arg_scope
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/__init__.py", line 30, in <module>
    from tensorflow.contrib import factorization
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/factorization/__init__.py", line 24, in <module>
    from tensorflow.contrib.factorization.python.ops.gmm import *
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/factorization/python/ops/gmm.py", line 27, in <module>
    from tensorflow.contrib.learn.python.learn.estimators import estimator
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/__init__.py", line 87, in <module>
    from tensorflow.contrib.learn.python.learn import *
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/__init__.py", line 23, in <module>
    from tensorflow.contrib.learn.python.learn import *
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/__init__.py", line 25, in <module>
    from tensorflow.contrib.learn.python.learn import estimators
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/__init__.py", line 297, in <module>
    from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 29, in <module>
    from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", line 31, in <module>
    from tensorflow.contrib.learn.python.learn.estimators import estimator
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 49, in <module>
    from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/__init__.py", line 21, in <module>
    from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/dask_io.py", line 26, in <module>
    import dask.dataframe as dd
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/dask/dataframe/__init__.py", line 3, in <module>
    from .core import (DataFrame, Series, Index, _Frame, map_partitions,
  File "/home/libardo/anaconda3/lib/python3.6/site-packages/dask/dataframe/core.py", line 38, in <module>
    pd.computation.expressions.set_use_numexpr(False)
AttributeError: module 'pandas' has no attribute 'computation'

【问题讨论】:

  • 哪个熊猫版本? ....进口熊猫;打印 pandas.__version__

标签: python tensorflow


【解决方案1】:

也许熊猫版本太旧了。请尝试按照以下步骤操作:

https://www.scipy.org/install.html

问题的另一个原因可能是您的 Python 版本,例如您的 pip 版本。请验证您的 pip 是否具有以下库:

点子列表

pip2 列表

pip3 列表

此命令的使用取决于您的 Python 和 pip 版本。

【讨论】:

    猜你喜欢
    • 1970-01-01
    • 1970-01-01
    • 1970-01-01
    • 2017-11-12
    • 2016-09-27
    • 1970-01-01
    • 2016-08-24
    • 2016-10-06
    • 2021-06-20
    相关资源
    最近更新 更多