DensityMixin (original) (raw)

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