feat(prediction): AAPred + AAPredPlot — evaluate & deploy prediction models#332

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breimanntools merged 15 commits into

feat/prediction-class

Jul 4, 2026

Commits on Jul 1, 2026

feat(prediction): AAPred + AAPredPlot — evaluate & deploy prediction models

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Commits on Jul 2, 2026

feat(prediction): sequence-level prediction (seq / domain / window) + plots

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feat(prediction): shared model registry (get_cv_model_)

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feat(prediction): AAPred models= (names/instances) + GridSearchCV tuning

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Merge remote-tracking branch 'origin/master' into feat/prediction-class
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refactor(prediction): featurize_seq via feature_matrix(df_seq=, df_parts_kws=)

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docs(explainable_ai): frame TreeModel as global importance; point to AAPred for deploy

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feat(prediction): AAPredPlot.comparison — grouped method x condition barplot

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feat(prediction): AAPredPlot.ranking — ranked-candidate bars (class colors, cut-offs)

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feat(prediction): AAPredPlot.clustermap + 3-type figure grouping

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fix(prediction): AAPredPlot new methods annotate -> Tuple[Figure, Axes]

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fix(prediction): clone configured estimators (voting/stacking/xgboost/random_state)

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simplify(prediction): trim model registry to the 4 established families

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docs(prediction): re-execute example notebooks after the models= / clone refactor

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Commits on Jul 4, 2026

Merge remote-tracking branch 'origin/master' into feat/prediction-class
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committed