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path: root/lib/model.py
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2024-02-21move (de)cart, lmt, xgb model generation into separate ModelAttribute functionsBirte Kristina Friesel-4/+19
2024-02-21model: Remove no longer useful build_dtree wrapperBirte Kristina Friesel-39/+24
2024-02-21Always build model in get_fitted; never in constructorBirte Kristina Friesel-37/+23
2024-02-20Re-add (very very basic, for now) Symbolic Regression supportBirte Kristina Friesel-6/+13
2024-02-12PTAModel.to_json: Handle missing states due to --filter-observationsBirte Kristina Friesel-1/+6
2024-02-12unfuck param_names / feature_names handlingBirte Kristina Friesel-0/+1
2024-02-02AnalyticModel: Add from_json constructorBirte Kristina Friesel-6/+32
2024-02-02Model: do not store distinct_values; they're part of stats anywaysBirte Kristina Friesel-10/+6
2024-01-24Use separate /hyper/ hierarchy for hyper-parameter exportBirte Kristina Friesel-0/+2
2024-01-22Support LUT model independent of --skip-param-statsBirte Kristina Friesel-5/+1
2024-01-16model: Correctly set threshold from compute_statsBirte Kristina Friesel-1/+1
2024-01-16model: ModelAttribute is defined in .parameters, not .automataBirte Kristina Friesel-1/+2
2024-01-15PTAModel.asses: support transitions with partial dataBirte Kristina Friesel-1/+1
This can happen when --filter-observation is in use
2023-12-14add median and 90/95/99th percentile absolute errors to metricsBirte Kristina Friesel-6/+15
2023-12-07xv: calculate measures from samples rather than averaging intermediatesBirte Kristina Friesel-4/+4
2022-09-22CART, XGB: Improve eval speed by predicting everything at onceDaniel Friesel-24/+46
2022-08-24plot_param: support AnalyticModel instancesDaniel Friesel-0/+8
2022-06-09AnalyticModel: populate attr_by_name in all casesDaniel Friesel-0/+18
2022-06-03add first order linear functions for evaluation purposesDaniel Friesel-0/+3
2022-03-31--export-raw-predictions: add parameter valuesDaniel Friesel-6/+22
2022-03-01refactor tree generation overrides into build_dtreeDaniel Friesel-120/+6
2022-03-01Add SKLEARN DECART supportDaniel Friesel-0/+14
2022-02-25add --export-raw-predictionsDaniel Friesel-4/+13
2022-02-09allow dtree relevant parameter detection to be disabledDaniel Friesel-3/+19
2022-01-28PTAModel: Add force_tree optionDaniel Friesel-0/+44
2022-01-27add LMT support via https://github.com/cerlymarco/linear-treeDaniel Friesel-0/+6
2022-01-06add preliminary xgboost supportDaniel Friesel-0/+6
2022-01-06add xv data to dref exportDaniel Friesel-1/+1
2022-01-05store decision tree attributes of xv models in dataref exportDaniel Friesel-1/+17
2021-12-23model: add sklearn CART support (CART with scalar features)Daniel Friesel-3/+13
2021-12-03model: fix parameter counts in dataref exportDaniel Friesel-1/+3
2021-12-03model: Remove temporary ResKIL accuracy/power modeling hackDaniel Friesel-7/+0
2021-12-03optionally ignore scalar parameters during dtree split generationDaniel Friesel-2/+14
2021-12-01add ParamType helper classDaniel Friesel-13/+18
2021-12-01model: Add MAPE exportDaniel Friesel-0/+12
2021-11-16add configuration variable for non-binary dtree node supportDaniel Friesel-7/+28
2021-11-12dataref: export number of samples per measurement classDaniel Friesel-0/+2
2021-11-11AnalyticModel dref export: Add number of boolean/scalar/enum parametersDaniel Friesel-1/+31
2021-10-28analyze-kconfig: add dataref exportDaniel Friesel-18/+25
2021-10-26allow custom standard deviation thresholds for decision tree compilationDaniel Friesel-4/+26
2021-10-25dataref export: handle missing MAPE entriesDaniel Friesel-9/+21
2021-10-25model: Remove legacy with_function_leaves overrideDaniel Friesel-5/+6
2021-10-25model: Set DFATOOL_DTREE_ENABLED=0 to disable dtree supportDaniel Friesel-1/+2
2021-10-13analyze-kconfig: add cross-validation supportDaniel Friesel-0/+8
2021-10-11AnalyticModel, PTAModel: add distinct_param_values_by_nameDaniel Friesel-1/+18
2021-08-31model: allow leaf function setting to be overridden via envDaniel Friesel-1/+4
Here, it defaults to enabled and can be overridden to disabled (DFATOOL_DTREE_FUNCTION_LEAVES=0)
2021-08-31model: use mean stddev for fixed parameter configuration as split threshold ↵Daniel Friesel-1/+6
by default
2021-08-24support override functions in dtree codeDaniel Friesel-1/+3
2021-08-23move build_dtree method back to ModelAttribute classDaniel Friesel-114/+1
2021-08-23remove unused legacy attr.build_dtree codeDaniel Friesel-5/+0
model.build_dtree does belong into attr, but that's a different commit
generated by cgit v1.2.3 (git 2.39.1) at 2025-06-02 23:10:07 +0000