module sklapi.sklearn_base_regressor#

Inheritance diagram of mlinsights.sklapi.sklearn_base_regressor

Short summary#

module mlinsights.sklapi.sklearn_base_regressor

Implements SkBaseRegressor.

source on GitHub

Classes#

class

truncated documentation

SkBaseRegressor

Defines a custom regressor.

Methods#

method

truncated documentation

__init__

constructor

score

Returns the mean accuracy on the given test data and labels.

Documentation#

Implements SkBaseRegressor.

source on GitHub

class mlinsights.sklapi.sklearn_base_regressor.SkBaseRegressor(**kwargs)#

Bases: mlinsights.sklapi.sklearn_base_learner.SkBaseLearner

Defines a custom regressor.

source on GitHub

constructor

source on GitHub

__init__(**kwargs)#

constructor

source on GitHub

score(X, y=None, sample_weight=None)#

Returns the mean accuracy on the given test data and labels.

Parameters
  • X – Training data, numpy array or sparse matrix of shape [n_samples,n_features]

  • y – Target values, numpy array of shape [n_samples, n_targets] (optional)

  • sample_weight – Weight values, numpy array of shape [n_samples, n_targets] (optional)

Returns

score : float, Mean accuracy of self.predict(X) wrt. y.

source on GitHub