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)