athena.utils.CrossValidation.fit

CrossValidation.fit(inputs, gradients, outputs)[source]

Uses Gaussian process regression to build the response surface as a side effect. The dimension of the response surface is specified in the attribute self.ss.dim.

Parameters

  • inputs (numpy.ndarray) – n_samples-by-input_dim input matrix.

  • outputs (numpy.ndarray) – n_sample-by-output_dim output matrix.

  • gradients (numpy.ndarray) – n_samples-by-output_dim-by-input_dim gradients matrix.