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)#