generalized_additive_models.InvGauss#

class generalized_additive_models.InvGauss(scale=None)#

Inverse Gaussian Distribution

__init__(scale=None)#

Methods

V(mu)

__init__([scale])

deviance(*, y, mu[, sample_weight, scaled])

get_metadata_routing()

Get metadata routing of this object.

get_params([deep])

Get parameters for this estimator.

sample(mu[, size, random_state])

set_params(**params)

Set the parameters of this estimator.

to_scipy(mu)

variance(mu)

Var(Y) = V(mu) * scale

Attributes

V(mu)#
deviance(*, y, mu, sample_weight=None, scaled=True)#
domain = (0, inf)#
name = 'inv_gauss'#
to_scipy(mu)#