MMMCVSummaryFactory.predictions

MMMCVSummaryFactory.predictions(hdi_probs=(0.94,), dims=None, output_format='pandas')

Create posterior predictive summary per CV fold in long format.

Parameters:

hdi_probssequence of float, default (0.94,)

HDI probability levels.

dimsdict, optional

Dimension filters applied before summarization.

output_format{“pandas”, “polars”}, default “pandas”

Output DataFrame format.

Returns:

pd.DataFrame or pl.DataFrame

Long-format table with columns cv, date, split, mean, median, HDI bounds, and observed.