def set_hyperparameters(self, hyperparameter):
"""Set hyperaparmeters from a vector.
Used by model selection.
"""
if np.any(hyperparameter < 0):
raise InvalidHyperparameterError()
self.sigma_f = hyperparameter[0]
self._length_scale = hyperparameter[1:]
return
def set_hyperparameters(self, hyperparameter):
"""Set hyperaparmeters from a vector.
Used by model selection.
Note: 'alpha' is not considered as an hyperparameter.
"""
if np.any(hyperparameter < 0):
raise InvalidHyperparameterError()
self.sigma_f = hyperparameter[0]
self.length_scale = hyperparameter[1:]
return
def set_hyperparameters(self, hyperparameter):
"""
Set hyperparameters' values.
Note that 'hyperparameter' is a sequence so the order of its
values is important. First value must be sigma_noise, then
other kernel's hyperparameters values follow in the exact
order the kernel expect them to be.
"""
if hyperparameter[0] < self.params['sigma_noise'].min:
raise InvalidHyperparameterError()
self.params.sigma_noise = hyperparameter[0]
if hyperparameter.size > 1:
self.__kernel.set_hyperparameters(hyperparameter[1:])
pass
return