def __init__(self,
algorithms: Type[Algorithms] = UniformAlgorithms,
dummy: Tensor = None,
properties: Properties = None) -> None:
parameters = {"dummy": dummy}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = ExponentialAlgorithms,
beta: Tensor = None,
properties: Properties = None) -> None:
parameters = {"beta": beta}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = CenNnNormalAlgorithms,
tau: Tensor = None,
properties: Properties = None) -> None:
parameters = {"tau": tau}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = CenNormalRankOneAlgorithms,
tau0: Tensor = None,
tau1: Tensor = None,
properties: Properties = None) -> None:
parameters = {"tau0": tau0, "tau1": tau1}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = LaplaceAlgorithms,
mu: Tensor = None,
beta: Tensor = None,
properties: Properties = None) -> None:
parameters = {"mu": mu, "beta": beta}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = LomaxAlgorithms,
alpha: Tensor = None,
beta: Tensor = None,
tau: Tensor = None,
properties: Properties = None) -> None:
parameters = {"alpha": alpha, "beta": beta, "tau": tau}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = CenNnTAlgorithms,
Psi: Tensor = None,
nu: Tensor = None,
tau: Tensor = None,
properties: Properties = None) -> None:
parameters = {"Psi": Psi, "nu": nu, "tau": tau}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = JumpNormalAlgorithms,
mu: Tensor = None,
tau: Tensor = None,
nu: Tensor = None,
beta: Tensor = None,
properties: Properties = None) -> None:
parameters = {"mu": mu, "tau": tau, "nu": nu, "beta": beta}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)
def __init__(self,
algorithms: Type[Algorithms] = CenNnFullyElasticNetAlgorithms,
b: Tensor = None,
mu: Tensor = None,
tau: Tensor = None,
betaExponential: Tensor = None,
beta: Tensor = None,
properties: Properties = None) -> None:
parameters = {
"b": b,
"mu": mu,
"tau": tau,
"betaExponential": betaExponential,
"beta": beta
}
Distribution.__init__(self,
algorithms=algorithms,
parameters=parameters,
properties=properties)