def __init__(self, gamma=1.0, n_components=100, random_state=None):
self._hyperparams = {
'gamma': gamma,
'n_components': n_components,
'random_state': random_state
}
self._wrapped_model = Op(**self._hyperparams)
def __init__(self, skewedness=1.0, n_components=100, random_state=None):
self._hyperparams = {
'skewedness': skewedness,
'n_components': n_components,
'random_state': random_state
}
self._wrapped_model = Op(**self._hyperparams)
def __init__(self,
kernel='rbf',
gamma=None,
coef0=None,
degree=None,
kernel_params=None,
n_components=100,
random_state=None):
self._hyperparams = {
'kernel': kernel,
'gamma': gamma,
'coef0': coef0,
'degree': degree,
'kernel_params': kernel_params,
'n_components': n_components,
'random_state': random_state
}
self._wrapped_model = Op(**self._hyperparams)
def __init__(self, **hyperparams):
self._hyperparams = hyperparams
self._wrapped_model = Op(**self._hyperparams)
def __init__(self, sample_steps=2, sample_interval=None):
self._hyperparams = {
'sample_steps': sample_steps,
'sample_interval': sample_interval
}
self._wrapped_model = Op(**self._hyperparams)