module sklapi.sklearn_base_regressor

Inheritance diagram of mlinsights.sklapi.sklearn_base_regressor

Short summary

module mlinsights.sklapi.sklearn_base_regressor

Implements SkBaseRegressor.

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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)[source]

Bases: mlinsights.sklapi.sklearn_base_learner.SkBaseLearner

Defines a custom regressor.

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constructor

source on GitHub

__init__(**kwargs)[source]

constructor

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

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