PartialDependenceResult

Partial dependence data for one smooth term.

Usage

Source

PartialDependenceResult(
    term,
    x,
    effect,
    se,
    lower,
    upper,
    edf,
    level,
)

Contains the evaluation grid, estimated effect, standard errors, and confidence bounds for a single smooth term. This is the data underlying partial_effects() plots, exposed as arrays for custom plotting or downstream analysis.

Attributes

term: str

Term label (e.g. "s(x)").

x: dict[str, NDArray]

Evaluation grid. For 1-D smooths, a single key mapping to a 1-D array. For 2-D smooths, two keys mapping to 1-D marginal grids (use np.meshgrid to expand).

effect: NDArray

Estimated partial effect at each grid point, shape (n_grid,).

se: NDArray

Standard errors, shape (n_grid,).

lower: NDArray

Lower confidence bound, shape (n_grid,).

upper: NDArray

Upper confidence bound, shape (n_grid,).

edf: float

Effective degrees of freedom for this term.

level: float

Confidence level used for the bounds.

Attributes

Name	Description
n_grid	Number of evaluation points.

---

n_grid

Number of evaluation points.

n_grid: int