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authorBirte Kristina Friesel <birte.friesel@uos.de>2024-02-22 13:49:30 +0100
committerBirte Kristina Friesel <birte.friesel@uos.de>2024-02-22 13:49:30 +0100
commit572ba1bedc4aae42d66359468c1de8bd62e1a546 (patch)
treec813e16935f102bb63f1f7afb4d3ddde286dd1c4 /README.md
parent677d24805b0bd50fc9326c43c4153a93d8592a41 (diff)
Support Symbolic Regression rather than ULS in RMT leaves
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@@ -112,7 +112,7 @@ The following variables may be set to alter the behaviour of dfatool components.
| `DFATOOL_COMPENSATE_DRIFT` | **0**, 1 | Perform drift compensation for loaders without sync input (e.g. EnergyTrace or Keysight) |
| `DFATOOL_DRIFT_COMPENSATION_PENALTY` | 0 .. 100 (default: majority vote over several penalties) | Specify penalty for ruptures.py PELT changepoint petection |
| `DFATOOL_MODEL` | cart, decart, fol, lmt, **rmt**, symreg, xgb | Modeling method. See below for method-specific configuration options. |
-| `DFATOOL_RMT_SUBMODEL` | fol, static, **uls** | Modeling method for RMT leaf functions. |
+| `DFATOOL_RMT_SUBMODEL` | fol, static, symreg, **uls** | Modeling method for RMT leaf functions. |
| `DFATOOL_RMT_ENABLED` | 0, **1** | Use decision trees in get\_fitted |
| `DFATOOL_CART_MAX_DEPTH` | **0** .. *n* | maximum depth for sklearn CART. Default (0): unlimited. |
| `DFATOOL_LMT_MAX_DEPTH` | **5** .. 20 | Maximum depth for LMT. |