def __init__(self, prior={(0,): Params()}, seed=12345):
"""
:param Dict[tuple, object] prior:
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.segment_func_map = dict_utils.dict_apply(prior, lambda params: self.generate_cpc_func(params))
def __init__(self,
prior={(0, ): Params(1.0, 0.0, "multiplicative")},
seed=12345):
"""
:param dict[tuple, AbstractConversionRateSegments.Params] prior:
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.segment_func_map = dict_utils.dict_apply(
prior, lambda params: self.generate_cvr_func(params))
def __init__(self, prior={(0, ): Params()}, seed=9):
"""
:param dict prior: Dict with dummy bids and constant probabilities for every segment.
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.segment_func_map = dict_utils.dict_apply(
prior, self.generate_click_probability_func)
def __init__(self,
prior={
(0, ): Params(noise_level=0.0,
noise_type="multiplicative")
},
seed=12345):
"""
:param Dict[tuple, ClicksBinomialSegments.Params] prior: dictionary segments as keys to which a configuration of approriate noise_level and noise_type is assigned
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.segment_func_map = dict_utils.dict_apply(
prior, self.generate_clicks_func)
def __init__(self,
prior={(0, ): Params(1.0, 0.0, "multiplicative")},
seed=123):
"""
:param Dict[tuple, AveragePositionHyperbolicSegments.Params] prior: Dict
with prior values for the module.
:param int seed: Seed for the random number generator.
"""
super().__init__(prior, seed)
self.max_position = 10.0
self.segment_func_map = dict_utils.dict_apply(
prior, self.generate_average_position_func)