welltest_pta.cross_validate_detector

welltest_pta.cross_validate_detector(df, cfg=None, n_bootstrap=8, downsample_frac=0.85, perturbation=0.20, seed=42, print_report=True)

Run all three CV checks and return a DetectorCVResult.

Parameters:

• df (DataFrame) – Parsed gauge DataFrame (output of welltest_pta.parser.parse()).

• cfg (Optional[EventDetectorConfig]) – Detector configuration. Defaults to standard V8.1 settings.

• n_bootstrap (int) – Number of bootstrap replicas (≥4 recommended).

• downsample_frac (float) – Fraction of points retained per replica.

• perturbation (float) – Fractional change applied to each parameter (e.g. 0.20 = ±20 %).

• seed (int) – RNG seed for reproducibility.

• print_report (bool) – If True (default) prints the human-readable report.

Return type:

DetectorCVResult