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datalets v0.5.1 — automated imbalance handling

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@nashit8421 nashit8421 released this 27 Jul 09:15
v0.5.1
4e282d0

class_weight="balanced" (sklearn-style, also accepts a dict): automated imbalance handling without resampling — inverse-frequency weights flow through candidate fitting, cross-fitted threshold tuning, scoring and reports.

Two automated operating modes for imbalanced data, benchmarked (german credit 30%, adult 25%, covtype 0.4% positives vs HistGB ± balanced and XGBoost scale_pos_weight):

  • plain (per-cluster thresholds only) — F1-first: wins on heterogeneous german credit, parity with tuned boosters elsewhere;
  • class_weight="balanced" — recall-first: 97% recall and ROC-AUC 0.999 at 0.4% positives.

Quickstarts now lead with the fully automatic configuration (clusterer="auto", class_weight="balanced"). 483 tests. Full table in DOCUMENTATION.md.

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