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NeuralNetworkRegressor.score

NeuralNetworkRegressor.score(X, y, sample_weight=None)[소스]

Returns a score of this model given samples and true values for the samples. In case of classification this should be mean accuracy, in case of regression the coefficient of determination \(R^2\) of the prediction.

매개변수
  • X (ndarray) – Test samples.

  • y (ndarray) – True values for X.

  • sample_weight (Optional[ndarray]) – Sample weights. Default is None.

반환 형식

float

반환

a float score of the model.