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Performance Model Generation for Configurable System Components
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model.py
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2024-03-07
Replace RMT_ENABLED=0 with MODEL=uls
Birte Kristina Friesel
-3
/
+4
2024-03-06
Add LightGBM support
Birte Kristina Friesel
-1
/
+3
2024-02-26
add --export-csv-unparam support
Birte Kristina Friesel
-0
/
+3
2024-02-21
make SymbolicRegressionFunction inherit from SKLearnRegressionFunction
Birte Kristina Friesel
-3
/
+2
2024-02-21
rename build_dtree to build_rmt
Birte Kristina Friesel
-4
/
+4
2024-02-21
Rename DFATOOL_DTREE_* to DFATOOL_RMT_*
Birte Kristina Friesel
-1
/
+1
2024-02-21
build_dtree: there is no need to explicitly pass param_values and data
Birte Kristina Friesel
-4
/
+0
2024-02-21
Replace DFATOOL_FIT_FOL with DFATOOL_MODEL=fol
Birte Kristina Friesel
-3
/
+2
2024-02-21
move (de)cart, lmt, xgb model generation into separate ModelAttribute functions
Birte Kristina Friesel
-4
/
+19
2024-02-21
model: Remove no longer useful build_dtree wrapper
Birte Kristina Friesel
-39
/
+24
2024-02-21
Always build model in get_fitted; never in constructor
Birte Kristina Friesel
-37
/
+23
2024-02-20
Re-add (very very basic, for now) Symbolic Regression support
Birte Kristina Friesel
-6
/
+13
2024-02-12
PTAModel.to_json: Handle missing states due to --filter-observations
Birte Kristina Friesel
-1
/
+6
2024-02-12
unfuck param_names / feature_names handling
Birte Kristina Friesel
-0
/
+1
2024-02-02
AnalyticModel: Add from_json constructor
Birte Kristina Friesel
-6
/
+32
2024-02-02
Model: do not store distinct_values; they're part of stats anyways
Birte Kristina Friesel
-10
/
+6
2024-01-24
Use separate /hyper/ hierarchy for hyper-parameter export
Birte Kristina Friesel
-0
/
+2
2024-01-22
Support LUT model independent of --skip-param-stats
Birte Kristina Friesel
-5
/
+1
2024-01-16
model: Correctly set threshold from compute_stats
Birte Kristina Friesel
-1
/
+1
2024-01-16
model: ModelAttribute is defined in .parameters, not .automata
Birte Kristina Friesel
-1
/
+2
2024-01-15
PTAModel.asses: support transitions with partial data
Birte Kristina Friesel
-1
/
+1
2023-12-14
add median and 90/95/99th percentile absolute errors to metrics
Birte Kristina Friesel
-6
/
+15
2023-12-07
xv: calculate measures from samples rather than averaging intermediates
Birte Kristina Friesel
-4
/
+4
2022-09-22
CART, XGB: Improve eval speed by predicting everything at once
Daniel Friesel
-24
/
+46
2022-08-24
plot_param: support AnalyticModel instances
Daniel Friesel
-0
/
+8
2022-06-09
AnalyticModel: populate attr_by_name in all cases
Daniel Friesel
-0
/
+18
2022-06-03
add first order linear functions for evaluation purposes
Daniel Friesel
-0
/
+3
2022-03-31
--export-raw-predictions: add parameter values
Daniel Friesel
-6
/
+22
2022-03-01
refactor tree generation overrides into build_dtree
Daniel Friesel
-120
/
+6
2022-03-01
Add SKLEARN DECART support
Daniel Friesel
-0
/
+14
2022-02-25
add --export-raw-predictions
Daniel Friesel
-4
/
+13
2022-02-09
allow dtree relevant parameter detection to be disabled
Daniel Friesel
-3
/
+19
2022-01-28
PTAModel: Add force_tree option
Daniel Friesel
-0
/
+44
2022-01-27
add LMT support via https://github.com/cerlymarco/linear-tree
Daniel Friesel
-0
/
+6
2022-01-06
add preliminary xgboost support
Daniel Friesel
-0
/
+6
2022-01-06
add xv data to dref export
Daniel Friesel
-1
/
+1
2022-01-05
store decision tree attributes of xv models in dataref export
Daniel Friesel
-1
/
+17
2021-12-23
model: add sklearn CART support (CART with scalar features)
Daniel Friesel
-3
/
+13
2021-12-03
model: fix parameter counts in dataref export
Daniel Friesel
-1
/
+3
2021-12-03
model: Remove temporary ResKIL accuracy/power modeling hack
Daniel Friesel
-7
/
+0
2021-12-03
optionally ignore scalar parameters during dtree split generation
Daniel Friesel
-2
/
+14
2021-12-01
add ParamType helper class
Daniel Friesel
-13
/
+18
2021-12-01
model: Add MAPE export
Daniel Friesel
-0
/
+12
2021-11-16
add configuration variable for non-binary dtree node support
Daniel Friesel
-7
/
+28
2021-11-12
dataref: export number of samples per measurement class
Daniel Friesel
-0
/
+2
2021-11-11
AnalyticModel dref export: Add number of boolean/scalar/enum parameters
Daniel Friesel
-1
/
+31
2021-10-28
analyze-kconfig: add dataref export
Daniel Friesel
-18
/
+25
2021-10-26
allow custom standard deviation thresholds for decision tree compilation
Daniel Friesel
-4
/
+26
2021-10-25
dataref export: handle missing MAPE entries
Daniel Friesel
-9
/
+21
2021-10-25
model: Remove legacy with_function_leaves override
Daniel Friesel
-5
/
+6
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