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2024-02-26Logfile.load: fix errors in error outputBirte Kristina Friesel-3/+2
2024-02-26add --export-csv-unparam supportBirte Kristina Friesel-0/+27
2024-02-23SymbolicRegressionFunction: export hyper-parameters to datarefBirte Kristina Friesel-0/+13
2024-02-22Support Symbolic Regression rather than ULS in RMT leavesBirte Kristina Friesel-15/+28
2024-02-22Replace DFATOOL_RMT_FUNCTION_LEAVES=0 with DFATOOL_RMT_SUBMODEL=staticBirte Kristina Friesel-5/+6
2024-02-21SymbolicRegressor: Add hyper-parameters and complexity score calculationBirte Kristina Friesel-1/+78
2024-02-21SymReg: use MSE and set feature_namesBirte Kristina Friesel-2/+4
2024-02-21black(1)Birte Kristina Friesel-12/+12
2024-02-21make SymbolicRegressionFunction inherit from SKLearnRegressionFunctionBirte Kristina Friesel-112/+38
2024-02-21rename build_dtree to build_rmtBirte Kristina Friesel-10/+10
2024-02-21Rename DFATOOL_FIT_LINEAR_ONLY=1 to DFATOOL_SUBMODEL=folBirte Kristina Friesel-2/+2
2024-02-21Rename DFATOOL_DTREE_* to DFATOOL_RMT_*Birte Kristina Friesel-7/+7
2024-02-21build_dtree: there is no need to explicitly pass param_values and dataBirte Kristina Friesel-8/+2
2024-02-21Replace DFATOOL_FIT_FOL with DFATOOL_MODEL=folBirte Kristina Friesel-38/+42
2024-02-21move (de)cart, lmt, xgb model generation into separate ModelAttribute functionsBirte Kristina Friesel-84/+99
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-40/+23
2024-02-21Move CART/LMT/XGB fitting into the respective modulesBirte Kristina Friesel-217/+270
2024-02-20Re-add (very very basic, for now) Symbolic Regression supportBirte Kristina Friesel-6/+148
2024-02-19FOLFunction: Do not redundantly pass param_names to constructor.Birte Kristina Friesel-2/+1
2024-02-19--show-model-complexity: sort lexicallyBirte Kristina Friesel-2/+2
2024-02-19categorial → categoricalBirte Kristina Friesel-34/+36
2024-02-12XGBoostFunction: fix complexity score and statistics calculationBirte Kristina Friesel-4/+7
2024-02-12CART, LMT export: handle function argsBirte Kristina Friesel-2/+9
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-156/+129
2024-02-09... oopsBirte Kristina Friesel-1/+1
2024-02-09CART.to_json: support function argumentsBirte Kristina Friesel-3/+22
2024-02-09Implement --show-model=param for XGBBirte Kristina Friesel-0/+7
2024-02-09print_splitinfo: correctly chain if/elif…Birte Kristina Friesel-2/+2
2024-02-09filter-param: support parameter names ending with '!'Birte Kristina Friesel-2/+4
2024-02-09filter-param: support basic numeric operations and ∈ conditionsBirte Kristina Friesel-10/+44
2024-02-09add --param-shift=param=categorial optionBirte Kristina Friesel-1/+3
2024-02-09--show-model-error: indicate loaded/json model valuesBirte Kristina Friesel-1/+10
2024-02-09LMT export: set paramIndex; use correct parameterNames in analytic nodesBirte Kristina Friesel-2/+12
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
2024-02-08model export/import: rename paramDecisionValue to thresholdBirte Kristina Friesel-11/+9
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
2024-02-02AnalyticModel: 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
2024-01-25Use LMT algorithm defaults for max depth and min samples leaf.Birte Kristina Friesel-3/+3
2024-01-25XGB: switch to XGBoost defaultsBirte Kristina Friesel-9/+68
2024-01-25add an optional XV progress barBirte Kristina Friesel-0/+19
2024-01-25LMT: Tailor hyper-parameters towards higher accuracy (and longer training time)Birte Kristina Friesel-1/+54