neural_network.py 文件源码

def predict_proba(self, X):
        """
        Predict class probabilities for X.
        :param X: {array-like, sparse matrix}, shape (n_samples, n_features). Input data, where `n_samples` is the 
        number of samples and `n_features` is the number of features.
        :return: Returns self. 
        """

        # Numpy
        X = np.array(X)

        # Check is fit had been called
        check_is_fitted(self, ['X_', 'y_'])

        # Input validation
        X = check_array(X)

        return self.model.predict_proba(X, verbose=self.verbose)