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DensityMixin — scikit-learn 1.8.dev0 documentation

class sklearn.base.DensityMixin[source]#

Mixin class for all density estimators in scikit-learn.

This mixin defines the following functionality:

• sets estimator type to "density_estimator" through the estimator_type tag;

• score method that default that do no-op.

Examples

>>> from sklearn.base import DensityMixin
>>> class MyEstimator(DensityMixin):
...     def fit(self, X, y=None):
...         self.is_fitted_ = True
...         return self
>>> estimator = MyEstimator()
>>> hasattr(estimator, "score")
True

score(X, y=None)[source]#

Return the score of the model on the data X.

Parameters:

Xarray-like of shape (n_samples, n_features)

Test samples.

yIgnored

Not used, present for API consistency by convention.

Returns:

scorefloat

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