sklearn.base.DensityMixin

class sklearn.base.DensityMixin

Mixin class for all density estimators in scikit-learn.

This mixin defines the following functionality:

• _estimator_type class attribute defaulting to "DensityEstimator";

• 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

Methods

score(X[, y])

Return the score of the model on the data X.

score(X, y=None)

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