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2024-02-09from_json: Support models without argCount and valueBirte Kristina Friesel-3/+5
2024-02-08json export: leave out undefined valueError / functionError itemsBirte Kristina Friesel-7/+4
2024-02-08Document nodes in exported modelsBirte Kristina Friesel-0/+61
2024-02-08model export/import: rename paramDecisionValue to thresholdBirte Kristina Friesel-11/+9
2024-02-06README: Clarify DFATOOL_LMT_MIN_SAMPLES_LEAF semanticsBirte Kristina Friesel-1/+1
2024-02-06--export-json: pretty-print for easier manual editingBirte Kristina Friesel-2/+14
2024-02-06Add ScalarSplitFunction support for manual scalar splits in RMTBirte Kristina Friesel-10/+135
2024-02-02... add cli.py with --load-json definitionBirte Kristina Friesel-0/+6
2024-02-02ModelAttribute.from_json: Set mean/median from static modelBirte Kristina Friesel-0/+2
2024-02-02analyze-log, analyze-kconfig: preliminary --load-json supportBirte Kristina Friesel-38/+50
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
2024-02-01plotter: remove redundant color specifierBirte Kristina Friesel-1/+1
2024-01-29LMT: Fix DFATOOL_LMT_MIN_SAMPLES_LEAF default valueBirte Kristina Friesel-1/+3
2024-01-26plot_param: Handle low numeric rangesBirte Kristina Friesel-0/+2
2024-01-26LMT documentation: refer to lineartree.py for detailsBirte Kristina Friesel-2/+9
2024-01-25Use LMT algorithm defaults for max depth and min samples leaf.Birte Kristina Friesel-7/+7
max bins remains at 120 (≠25), but that one should only affect run-time and not accuracy/complexity
2024-01-25XGB: switch to XGBoost defaultsBirte Kristina Friesel-16/+75
2024-01-25add an optional XV progress barBirte Kristina Friesel-0/+22
2024-01-25LMT: Tailor hyper-parameters towards higher accuracy (and longer training time)Birte Kristina Friesel-2/+60
Also, allow users to override them
2024-01-25add hyper-parameter export for CART and LMTBirte Kristina Friesel-0/+20
2024-01-24Revert "analyze-archive: pass static=True to static xv (ensures ↵Birte Kristina Friesel-4/+2
force_tree=False)" This reverts commit 21a8de382ce2fff0ba740856f60ba135b1d925dd. Breaks with --filter-observations
2024-01-24Use separate /hyper/ hierarchy for hyper-parameter exportBirte Kristina Friesel-13/+20
2024-01-24analyze-kconfig: add timing information to dataref exportBirte Kristina Friesel-26/+33
2024-01-23analyze-archive: pass static=True to static xv (ensures force_tree=False)Birte Kristina Friesel-2/+4
2024-01-23analyze archive: include timing data in dataref exportBirte Kristina Friesel-7/+17
2024-01-23analyze-archive: use main() function for main logicBirte Kristina Friesel-2/+4
2024-01-23logging: re-add log level and module name to output. whoops.Birte Kristina Friesel-4/+20
2024-01-23logging: include timestamps in log outputBirte Kristina Friesel-4/+4
2024-01-23doc: typoBirte Kristina Friesel-1/+1
2024-01-23--function-override: Use : for splitting to support spaces in key/attr namesBirte Kristina Friesel-8/+12
Also, document it in doc/modeling-methods
2024-01-23Allow --skip-param-stats to be used in FIT_FOL modeBirte Kristina Friesel-5/+22
2024-01-22Support LUT model independent of --skip-param-statsBirte Kristina Friesel-6/+7
2024-01-22analyze-archive: --export-traces: Handle numpy arrays via NpEncoderBirte Kristina Friesel-1/+1
2024-01-22Add --skip-param-stats support to analyze-{archive,log}Birte Kristina Friesel-10/+17
2024-01-19RMT: Set DFATOOL_RMT_WEIGHTED_AVG=1 for weighted average in queriesBirte Kristina Friesel-0/+6
2024-01-19Store n_samples in all relevant ModelFunction instancesBirte Kristina Friesel-7/+14
2024-01-19README: Specify that DFATOOL_PARAM_CATEGORIAL_TO_SCALAR=1 sorts lexicallyBirte Kristina Friesel-1/+1
2024-01-19README: Nowadays, DFATOOL_ULS_ERROR_METRIC=ssr by defaultBirte Kristina Friesel-1/+1
2024-01-19functions: explicitly mention _xgb_ hyper-parameters in dref exportBirte Kristina Friesel-7/+7
2024-01-19dataref export: include XGB hyper-parametersBirte Kristina Friesel-1/+15
2024-01-19optionally store n_samples in ModelFunctionBirte Kristina Friesel-17/+29
2024-01-19Remove unused ModelAttribute.split code; splits are handled via SplitFunctionBirte Kristina Friesel-80/+34
2024-01-19parameters: nitsBirte Kristina Friesel-4/+6
2024-01-19assertionsBirte Kristina Friesel-1/+4
2024-01-18Rename DFATOOL_{'' → ULS_}SKIP_CODEPENDENT_CHECKBirte Kristina Friesel-3/+3
2024-01-18Document DFATOOL_SKIP_CODEPENDENT_CHECKBirte Kristina Friesel-0/+1
2024-01-18kconfig: ignore strings by default (implicit DFATOOL_KCONF_IGNORE_STRING=1)Birte Kristina Friesel-4/+4
2024-01-18build_dtree: do not ignore codependent parametersBirte Kristina Friesel-2/+7
Ignore non-numeric function arguments instead. Strings arguments are often paired with a length indicater and we are only interested in the latter.
2024-01-18parameters: ModelAttribute: remane .ignore_param to .ignore_codependent_paramBirte Kristina Friesel-12/+14
This should help avoid confusion.
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