def fit(self, X, y=None):
self._sklearn_model = SKLModel(**self._hyperparams)
if (y is not None):
self._sklearn_model.fit(X, y)
else:
self._sklearn_model.fit(X)
return self
def __init__(self, n_components=2, scale=True, copy=True):
self._hyperparams = {
'n_components': n_components,
'scale': scale,
'copy': copy
}
self._wrapped_model = SKLModel(**self._hyperparams)
def __init__(self, n_components=2, scale=True, max_iter=500, tol=1e-06, copy=True):
self._hyperparams = {
'n_components': n_components,
'scale': scale,
'max_iter': max_iter,
'tol': tol,
'copy': copy}
self._wrapped_model = SKLModel(**self._hyperparams)