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| author | Daniel Friesel <daniel.friesel@uos.de> | 2022-06-14 21:18:24 +0200 |
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| committer | Daniel Friesel <daniel.friesel@uos.de> | 2022-06-14 21:18:24 +0200 |
| commit | 3aeb9f5a3136afe749e76658e72a33ab7a92ffcf (patch) | |
| tree | f4325814cd3a282470ca6df657fd69cdcbdfc0be | |
| parent | d5375efb96c695071ff5e15ca1cd1e16c6613bbc (diff) | |
readme: document second-order formulas
| -rw-r--r-- | README.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -112,6 +112,7 @@ The following variables may be set to alter the behaviour of dfatool components. | `DFATOOL_DTREE_LOSS_IGNORE_SCALAR` | **0**, 1 | Ignore scalar parameters when computing the loss for split node candidates. Instead of computing the loss of a single partition for each `x_i == j`, compute the loss of partitions for `x_i == j` in which non-scalar parameters vary and scalar parameters are constant. This way, scalar parameters do not affect the decision about which non-scalar parameter to use for splitting. | | `DFATOOL_PARAM_CATEGORIAL_TO_SCALAR` | **0**, 1 | Some models (e.g. FOL, sklearn CART, XGBoost) do not support categorial parameters. Ignore them (0) or convert them to scalar indexes (1). | | `DFATOOL_FIT_FOL` | **0**, 1 | Build a first-order linear function (i.e., a * param1 + b * param2 + ...) instead of more complex functions or tree structures. | +| `DFATOOL_FOL_SECOND_ORDER` || **0**, 1 | Add second-order components (interaction of feature pairs) to first-order linear function. | ## Examples |