StreamingSnapshot

A snapshot of streaming GAM state at a point in time.

Usage

Source

StreamingSnapshot(
    n_obs,
    n_batches,
    coefficients,
    smoothing_params,
    edf_total,
    scale,
    deviance,
)

Appended to StreamingGAM’s history every time solve() is called, letting you track how coefficients, smoothing parameters, and fit diagnostics evolve as more batches of data arrive. Retrieved via StreamingGAM.smoothing_history().

Attributes

n_obs: int

Total (possibly decayed, under sliding-window mode) observation count at the time of this solve() call.

n_batches: int

Number of batches processed so far.

coefficients: NDArray

Coefficient estimates at this solve.

smoothing_params: list[float]

Smoothing parameters used for this solve.

edf_total: float

Total effective degrees of freedom at this solve.

scale: float

Estimated scale (dispersion) parameter at this solve.

deviance: float

Accumulated (possibly decayed) deviance at this solve.