bayespecon.diagnostics.SpatialCVResult¶

class bayespecon.diagnostics.SpatialCVResult(elpd, se, elpd_per_fold, n_per_fold, fold_ids, n_folds, method)[source]¶

Expected log pointwise predictive density summed over folds.

Standard error of elpd, estimated as sqrt(n * var(per_obs_elpd)) where per_obs_elpd spreads each fold’s elpd uniformly over its observations.

elpd_per_fold[source]¶

Per-fold elpd of shape (n_folds,).

Number of observations in each fold, shape (n_folds,).

Integer fold assignment for each observation, shape (n,).

Number of folds actually used.

"explicit" if fold_ids was supplied, "kmeans" if folds were derived from geometry.

__init__(elpd, se, elpd_per_fold, n_per_fold, fold_ids, n_folds, method)[source]¶

Methods

`__init__`(elpd, se, elpd_per_fold, ...)

Attributes