NeuralNetworkRegressor.score¶
- NeuralNetworkRegressor.score(X, y, sample_weight=None)[source]¶
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 forX
.sample_weight (
Optional
[ndarray
]) – Sample weights. Default isNone
.
- Type renvoyé
float
- Renvoie
a float score of the model.