modulenotfounderror no module named sklearn.externals.six

modulenotfounderror: no module named sklearn.externals.six

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In this post, we will learn the solutions on how to solve the no module named ‘sklearn.externals.six’

What is sklearn.externals.six?

The sklearn.externals.six module in the scikit-learn library provides compatibility between Python 2 and Python 3.

It consists of efficiency functions and classes that allow code written for Python 2 to run smoothly on Python 3.

However, you must take note that sklearn.externals.six is now considered a history module.

Because it has been removed in the latest version of scikit-learn (1.0).

Also, you might interested to read or visit the other resolved error:

Why error the no module named sklearn.externals.six occur?

The error “ModuleNotFoundError: No module named ‘sklearn.externals.six’” is occur if you’re trying to import the six module from the sklearn.externals module. It is does not exist in your Python environment.

In addition, this issue will occur if you are using an outdated version of scikit-learn. When you have installed scikit-learn it is interrupted during the installation.

For newer versions of scikit-learn, the six module has been moved to a separate package, six, which can be installed separately.

How to solve the no module named ‘sklearn.externals.six’?

Time needed: 3 minutes

Here are some steps to resolve the “modulenotfounderror: no module named ‘sklearn.externals.six’” error:

  • Step 1: Upgrade scikit-learn

    First, You can try to upgrade Scikit-Learn to the latest version using the following command:

    pip install –upgrade scikit-learn

    If you run the following command it upgrade the scikit-learn packages to the latest version in your python environment:

    upgrade scikit learn modulenotfounderror no module named sklearn.externals.six

  • Step 2: Install six module

    Next, you will install the six module separately using the following command:

    pip install six

    install six modulenotfounderror no module named sklearn.externals.six

  • Step 3: Use the six module from a different location

    Next, When you have multiple Python environments or virtual environments, you can try to import the six module from a different location using the following code before importing scikit-learn:

    import sys
    sys.path.append(‘/path/to/six’)

  • Step 4: Use the compat module from scikit-learn

    Then, For newer versions of scikit-learn, the six module has been moved to the sklearn.utils package. You can import the compat module from sklearn.utils to access the six module. Here is the following code:


    from sklearn.utils import compat

    If none of these steps work, you can proceed to the next step

  • Step 5: Downgrade scikit-learn

    After that, if you cannot upgrade the scikit-learn package or cannot use the latest version for some reason, you can try to downgrade scikit-learn to an earlier version that is compatible with the sklearn.externals.six module. You can install an earlier version of scikit-learn using the following command:

    pip install scikit-learn==1.1

    If you run the following command above it will downgrade the specific scikit-learn packages to your python environment:

    downgrade scikit learn modulenotfounderror no module named sklearn.externals.six

  • Step 6: Use joblib instead of sklearn.externals.six

    For newer versions of scikit-learn, the joblib module will be able to be used instead of sklearn.externals.six. You can import the joblib package and use it instead of sklearn.externals.six. The following code to import:

    from joblib import Parallel, delayed

Conclusion

In conclusion, the “ModuleNotFoundError: No module named ‘sklearn.externals.six’” error will be resolved through upgrading or downgrading scikit-learn.

Through installing the six module separately, importing the compat module from scikit-learn, using joblib instead of sklearn.externals.six, or reinstalling your entire Python environment.

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