def __init__(self, fit_intercept: bool = True, threshold: float = 1,
n_threads: int = 1):
ModelFirstOrder.__init__(self)
ModelGeneralizedLinear.__init__(self, fit_intercept)
ModelLipschitz.__init__(self)
self.n_threads = n_threads
self.threshold = threshold
def __init__(self, fit_intercept: bool = True, smoothness: float = 1.,
n_threads: int = 1):
ModelFirstOrder.__init__(self)
ModelGeneralizedLinear.__init__(self, fit_intercept)
ModelLipschitz.__init__(self)
self.n_threads = n_threads
self.smoothness = smoothness
def __init__(self,
fit_intercept: bool = True,
link: str = "exponential",
n_threads: int = 1):
ModelSecondOrder.__init__(self)
ModelGeneralizedLinear.__init__(self, fit_intercept)
ModelSelfConcordant.__init__(self)
self._set("_link", None)
self.link = link
self.n_threads = n_threads
def __init__(self, fit_intercept: bool = True, n_threads: int = 1):
ModelFirstOrder.__init__(self)
ModelGeneralizedLinear.__init__(self, fit_intercept)
self.n_threads = n_threads
def __init__(self, fit_intercept: bool = True):
ModelGeneralizedLinear.__init__(self, fit_intercept)
