Gaussian process regression fitting

The Gaussian process regression fitting is implemented in the gpModel class. You have to generate a search space before fitting the model.

fit(self, X, y)

Function to fit the data to Gaussian process regression model.

Parameters:
  • X – numpy array. Training data, input.

  • y – numpy array. Training data, output.

To use this function:

# You need a gpModel object (d) with a search space defined.

d.fit(X, y)