def __init__(self, prox_list: list):
# Range is stored in each Prox individually
Prox.__init__(self, range=None)
if len(prox_list) == 0:
raise ValueError('prox_list must have at least one Prox')
self.prox_list = prox_list
self.n_proxs = len(self.prox_list)
def __init__(self,
strength: float,
n_rows: int = None,
range: tuple = None,
positive: bool = False):
Prox.__init__(self, range)
self.positive = positive
self.strength = strength
self.n_rows = n_rows
self.rank_max = None
def __init__(self,
strength: float,
fdr: float = 0.6,
range: tuple = None,
positive: bool = False):
Prox.__init__(self, range)
self.strength = strength
self.fdr = fdr
self.positive = positive
self.weights = None
self._prox = self._build_cpp_prox("float64")
def __init__(self,
strength: float,
fdr: float = 0.6,
range: tuple = None,
positive: bool = False):
Prox.__init__(self, range)
self.strength = strength
self.fdr = fdr
self.positive = positive
self.weights = None
if range is None:
self._prox = _ProxSlope(self.strength, self.fdr, self.positive)
else:
self._prox = _ProxSlope(self.strength, self.fdr, self.range[0],
self.range[1], self.positive)
def __init__(self,
strength: float,
fdr: float = 0.6,
weights_type: str = "bh",
range: tuple = None,
positive: bool = False):
Prox.__init__(self, range)
self.strength = strength
self.fdr = fdr
self.weights_type = weights_type
self.positive = positive
self.weights = None
if range is None:
self._prox = _ProxSortedL1(self.strength, self.fdr,
self._weights_type, self.positive)
else:
self._prox = _ProxSortedL1(self.strength, self.fdr,
self._weights_type, self.range[0],
self.range[1], self.positive)