python - 名称错误 : name 'sklearn' is not defined

Question

我正在运行一个前馈神经网络，并希望得到一个带有直线的混淆矩阵

sklearn.metrics.confusion_matrix(goldLabel_array, predictions, sample_weight=None, labels=None)

但是当我运行它时，它在标题中给出了错误消息。 我安装了 scikit-learn 和 sklearn。当我运行“pip list”时，会列出 sklearn，但版本为 0.0.0。当我运行 conda install sklearn 时，它会给我以下信息:

Collecting package metadata (current_repodata.json): done
Solving environment: failed with current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - sklearn

Current channels:

  - https://conda.anaconda.org/loopbio/win-64
  - https://conda.anaconda.org/loopbio/noarch
  - https://repo.anaconda.com/pkgs/main/win-64
  - https://repo.anaconda.com/pkgs/main/noarch
  - https://repo.anaconda.com/pkgs/r/win-64
  - https://repo.anaconda.com/pkgs/r/noarch
  - https://repo.anaconda.com/pkgs/msys2/win-64
  - https://repo.anaconda.com/pkgs/msys2/noarch
  - https://conda.anaconda.org/conda-forge/win-64
  - https://conda.anaconda.org/conda-forge/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page. 

Answer 1

错误与安装无关。它告诉你你没有将库导入到你在代码中调用它的地方。

编辑 您正在直接导入 confusion_matrix，因此您需要直接引用它，而不是通过 sklearn。

confusion_matrix(goldLabel_array, predictions, sample_weight=None, labels=None)

和你的其他电话一样。