generalized_additive_models.Normal

class generalized_additive_models.Normal(scale=None)

Normal Distribution

__init__(scale=None)

Create a Normal distribution.

Parameters:

scale (float or None, optional) – If None, will be set by the GAM. The default is None.

Return type:

None.

Methods

V(mu)
V_derivative(mu)
__init__([scale])	Create a Normal distribution.
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

continuous
domain
name

V(mu)

V_derivative(mu)

continuous = True

deviance(*, y, mu, sample_weight=None, scaled=True)

domain = (-inf, inf)

name = 'normal'

to_scipy(mu)