IndicatorSummary

Conditional distribution at every target from multiple indicator or multigaussian kriging. Per-threshold, per-cutoff and per-quantile arrays have one row per target and one column per threshold, cutoff or quantile; NaN where unestimated.

cdf property

cdf

(targets, thresholds) order-relation corrected P(value <= t).

correction property

correction

Sum over thresholds of |corrected − kriged| probability.

diagnostics property

diagnostics

Per-target Table when predicted with diagnostics=True, else None: n_samples, pass (the search, from 1, that filled the target), n_holes (distinct holes among the samples used; untagged samples count one each), mean_distance (to the samples used), max_samples_reached (1 where the search returned max_samples), correction and n_order_violations (thresholds whose kriged probability the order-relation correction changed). Null where unestimated.

mean property

mean

Mean of the conditional distribution (E-type estimate).

mean_above property

mean_above

(targets, cutoffs) mean above each cutoff; NaN where nothing is above it.

probability_above property

probability_above

(targets, cutoffs) probability above each cutoff.

quantile_values property

quantile_values

(targets, quantiles) values at each requested quantile.

variance property

variance

Variance of the conditional distribution.

from_parquet staticmethod

from_parquet(path)

Reads to_parquet output; raises InvalidInput on another class's file or a newer format.

to_parquet method descriptor

to_parquet(path)

Writes arrays as Parquet columns and parameters as JSON in the file metadata; from_parquet reads it back.