Use scikit-learn's estimator checks

[mfeurer]

to check for compatibility with scikit-learn (https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/utils/estimator_checks.py).

From the docs:

    Check if estimator adheres to scikit-learn conventions.

    This estimator will run an extensive test-suite for input validation,
    shapes, etc, making sure that the estimator complies with `scikit-learn`
    conventions as detailed in :ref:`rolling_your_own_estimator`.
    Additional tests for classifiers, regressors, clustering or transformers
    will be run if the Estimator class inherits from the corresponding mixin
    from sklearn.base.

[github-actions[bot]]

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[aseemk98]

Hi, can I take this up if it's still open? I'm assuming changes would be required in the estimators.py file?