sklearn.linear_model.TweedieRegressor 파라미터

sklearn.linear_model.TweedieRegressor 파라미터

class sklearn.linear_model.TweedieRegressor(*, power=0.0, alpha=1.0, fit_intercept=True, link='auto', max_iter=100, tol=0.0001, warm_start=False, verbose=0)

sklearn.linear_model.TweedieRegressor 파라미터

powerfloat, default=0

The power determines the underlying target distribution according to the following table:

PowerDistribution

0	Normal
1	Poisson
(1,2)	Compound Poisson Gamma
2	Gamma
3	Inverse Gaussian

For 0 < power < 1, no distribution exists.

alphafloat, default=1

fit_interceptbool, default=True

link{‘auto’, ‘identity’, ‘log’}, default=’auto’

max_iterint, default=100

tolfloat, default=1e-4

warm_startbool, default=False

verboseint, default=0