From d5950d6f31de5403ed61124d799cd0fafe491b06 Mon Sep 17 00:00:00 2001 From: Birte Kristina Friesel Date: Wed, 21 Feb 2024 12:35:45 +0100 Subject: Replace DFATOOL_FIT_FOL with DFATOOL_MODEL=fol --- doc/modeling-method.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'doc') diff --git a/doc/modeling-method.md b/doc/modeling-method.md index 58fe03b..7a4c635 100644 --- a/doc/modeling-method.md +++ b/doc/modeling-method.md @@ -14,6 +14,10 @@ sklearn CART ("Decision Tree Regression") algorithm. Uses binary nodes and suppo sklearn CART ("Decision Tree Regression") algorithm. Ignores scalar parameters, thus emulating the DECART algorithm. +## FOL (First-Order Linear function) + +Build a first-order linear function (i.e., a * param1 + b * param2 + ...). + ## LMT (Linear Model Trees) [Linear Model Tree](https://github.com/cerlymarco/linear-tree) algorithm. Uses binary nodes and linear functions. @@ -41,7 +45,6 @@ All of these are valid regression model trees. * `--force-tree` builds a tree structure even if dfatool's heuristic indicates that no non-integer parameter affects the modeled performance attribute. * `DFATOOL_DTREE_IGNORE_IRRELEVANT_PARAMS=0` disables the relevant parameter detection heuristic when building the tree structure. By default, irrelevant parameters cannot end up as decision nodes. * `DFATOOL_FIT_LINEAR_ONLY=1` makes RMT behave more like LMT by only considering linear functions in leaf nodes. -* `DFATOOL_FIT_FOL=1` * `DFATOOL_PARAM_CATEGORICAL_TO_SCALAR=1` * `DFATOOL_ULS_SKIP_CODEPENDENT_CHECK=1` * `DFATOOL_REGRESSION_SAFE_FUNCTIONS=1` -- cgit v1.2.3