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| author | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-18 15:52:00 +0100 |
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| committer | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-18 15:52:00 +0100 |
| commit | 2886cb1f2579742d84c017d647a9add045e5481e (patch) | |
| tree | 5a9a7b6c385bc6e9a4e760d21f42660b852bc067 | |
| parent | 4bdff0ea29da7211fa4362211fa1d4ae413baa2f (diff) | |
Document DFATOOL_SKIP_CODEPENDENT_CHECK
| -rw-r--r-- | README.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -120,6 +120,7 @@ The following variables may be set to alter the behaviour of dfatool components. | `DFATOOL_CART_MAX_DEPTH` | **0** .. *n* | maximum depth for sklearn CART. Default (0): unlimited. | | `DFATOOL_ULS_ERROR_METRIC` | **rmsd**, mae, p50, p90 | Error metric to use when selecting best-fitting function during unsupervised least squares (ULS) regression. Least squares regression itself minimzes root mean square deviation (rmsd), hence rmsd is the default. | | `DFATOOL_ULS_MIN_DISTINCT_VALUES` | 2 .. **3** .. *n* | Minimum number of unique values a parameter must take to be eligible for ULS | +| `DFATOOL_SKIP_CODEPENDENT_CHECK` | **0**, 1 | Do not detect and remove co-dependent features in ULS. | | `DFATOOL_USE_XGBOOST` | **0**, 1 | Use Extreme Gradient Boosting algorithm for decision forest generation. | | `DFATOOL_XGB_N_ESTIMATORS` | 1 .. **100** .. *n* | Number of estimators (i.e., trees) for XGBoost. Mandatory. | | `DFATOOL_XGB_MAX_DEPTH` | 2 .. **10** .. *n* | Maximum XGBoost tree depth. XGBoost default: 6 | |