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2021-08-31model: use mean stddev for fixed parameter configuration as split threshold ↵Daniel Friesel-1/+6
by default
2021-08-26documentationDaniel Friesel-4/+22
2021-08-24dtree: Add function arg support. Update tests to reflect new models.Daniel Friesel-339/+194
2021-08-24fitting is not useful if there are less than 3 distinct int valuesDaniel Friesel-2/+12
2021-08-24support override functions in dtree codeDaniel Friesel-15/+21
2021-08-23move build_dtree method back to ModelAttribute classDaniel Friesel-114/+131
2021-08-23remove unused legacy attr.build_dtree codeDaniel Friesel-123/+2
model.build_dtree does belong into attr, but that's a different commit
2021-08-23Automatically build simple analytic or tree-based analytic model as neededDaniel Friesel-11/+42
The tree variant is used for attributes which depend on a non-numeric parameter (which can't be modeled as a function)
2021-08-20model/dtree generation: detect int parameters, do not hardcode "batch_size"Daniel Friesel-6/+8
2021-08-20model: support for decision tree with function leavesDaniel Friesel-6/+41
pretty hacky at the moment, but good enough for eval
2021-08-19ParallelParamFit -> ParamFit, optionally without parallelismDaniel Friesel-18/+36
2021-07-28model: improve error messageDaniel Friesel-1/+5
2021-07-12ModelAttribute, SplitFunction: Fix from_json methodsDaniel Friesel-3/+9
2021-06-25add observations_to_by_nameDaniel Friesel-0/+31
2021-06-25model: remove debug statementDaniel Friesel-3/+0
2021-06-25add nn moduleDaniel Friesel-0/+118
2021-06-25move print_static to cli moduleDaniel Friesel-29/+36
2021-06-23simplify dtree builderDaniel Friesel-48/+54
2021-06-23move kconfig-dtree builder to AnalyticModel. WIP.Daniel Friesel-80/+80
2021-06-23analyze-config: Generate kconfig-webconf compatible filesDaniel Friesel-2/+35
2021-06-23analyze-config: Fix a nasty RAM model bugDaniel Friesel-7/+25
2021-05-28data_parameters: add mem_serdes_deltaDaniel Friesel-0/+8
2021-05-27protocol_benchmarks: increase capnproto buffer sizeDaniel Friesel-1/+1
2021-05-20protocol_benchmarks: increase string buffer sizeDaniel Friesel-6/+6
2021-05-20multipass: "make info" now requires an app to be setDaniel Friesel-1/+1
2021-05-12protocol_benchmarks: black(1)Daniel Friesel-13/+21
2021-05-12protocol_benchmarks: Update for ArduinoJSON 6Daniel Friesel-17/+16
2021-05-10analyze-config: correctly map param indexes to param namesDaniel Friesel-7/+2
2021-05-10analyze-config: support arbitrary splits, not just y/nDaniel Friesel-35/+72
2021-05-10analyze-config, to_json: use paramNames in exported json nodesDaniel Friesel-35/+38
2021-05-03doc: multipass-update, kratos dazuDaniel Friesel-5/+55
2021-04-30analyze-config: use y/n instead of 1/0 for boolean kconfig nodesDaniel Friesel-7/+12
2021-04-22PLOT_SYNC: use vlinesDaniel Friesel-24/+6
2021-04-22energytrace loader: handle unsigned overflows as wellDaniel Friesel-0/+12
2021-04-20loader: define maximum sync pulse durationDaniel Friesel-2/+9
2021-04-20proper kconfig-webconf exportDaniel Friesel-49/+36
2021-04-20add dot export of energy modelsDaniel Friesel-2/+57
2021-04-19plot drift compensation in power trace graphDaniel Friesel-6/+50
2021-04-19drift: add plot of candidate timestamps and compensated timestampsDaniel Friesel-4/+44
2021-04-19drift: Fix end_ts candidate/drift calculationDaniel Friesel-0/+1
2021-04-19add dfa-to-dotDaniel Friesel-14/+48
2021-04-19runner: KRATOS: Verify baud rate and cyclecounter availabilityDaniel Friesel-0/+19
2021-04-15Prepare KRATOS supportDaniel Friesel-68/+267
2021-04-14pelt: use single PELT run to determine whether refinement is neededDaniel Friesel-2/+38
2021-03-25analyze-config: Use AnalyticModel for JSON outputDaniel Friesel-8/+23
2021-03-25analyze-config: Add RAM modelDaniel Friesel-7/+11
2021-03-25analyze-config: switch to dfatool functionsDaniel Friesel-46/+13
2021-03-25add analyze-config for kconfig ROM/RAM modelsDaniel Friesel-0/+199
2021-03-25model: allow stats generation to be skippedDaniel Friesel-2/+6
2021-03-25ParamStats: Remove unused std matrix / lut matrixDaniel Friesel-70/+15
This speeds up analysis and adds support for models with more than 32 parameters.
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