fit_path#

SuperGLM.fit_path(
X: FrameLike,
y: NDArray,
sample_weight: NDArray | None = None,
offset: NDArray | None = None,
*,
n_lambda: int = 50,
lambda_ratio: float = 0.001,
lambda_seq: NDArray | None = None,
) → PathResult#

Fit a regularization path from lambda_max down to lambda_min.

Warm-starts each lambda from the previous solution.