NeuralNetworkRegressor.score

NeuralNetworkRegressor.score(X, y, sample_weight=None)

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.

Paramètres

• X (ndarray) – Test samples.

• y (ndarray) – True values for X.

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

Type renvoyé

float

Renvoie

a float score of the model.