`shrinkage.Gaussian`

Shrinkage for Python · python · 0.2.0

Gaussian(y: object, *, fit_intercept: bool = True)

Average squared loss divided by two, with an unpenalized intercept.

y must satisfy the dense response contract: an exact, aligned, native-endian float64 NumPy array of shape (n_samples,). The array is retained by reference and copied when the problem is fitted.

`y`

Source: packages/python/src/shrinkage/datafit.py

y: object = field(repr=False)

`fit_intercept`

Source: packages/python/src/shrinkage/datafit.py

fit_intercept: bool = field(default=True, kw_only=True)