TermInference

class superglm.TermInference(

name: str,

kind: str,

active: bool,

x: NDArray | None = None,

levels: list[str] | None = None,

log_relativity: NDArray | None = None,

relativity: NDArray | None = None,

se_log_relativity: NDArray | None = None,

ci_lower: NDArray | None = None,

ci_upper: NDArray | None = None,

ci_lower_simultaneous: NDArray | None = None,

ci_upper_simultaneous: NDArray | None = None,

critical_value_simultaneous: float | None = None,

absorbs_intercept: bool = True,

centering_mode: str = 'training_mean_zero_unweighted',

edf: float | None = None,

smoothing_lambda: float | dict[str, float] | None = None,

spline: SplineMetadata | None = None,

knot_covariance: NDArray | None = None,

smooth_curve: SmoothCurve | None = None,

level_is_special: NDArray[bool] | None = None,

monotone: str | None = None,

monotone_repaired: bool = False,

alpha: float = 0.05,

centering_shift: float = 0.0,

)

Bases: object

Per-term inference result.

Holds the fitted curve (or levels/slope), uncertainty measures, and metadata for a single model term. Returned by SuperGLM.term_inference().

to_dataframe() → DataFrame

Convert to a tidy DataFrame for plotting or export.