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@@ -71,7 +71,6 @@ Legacy documentation; may be outdated: Python 3.7 or newer with the following modules: -* frozendict * matplotlib * numpy * scipy @@ -145,7 +144,7 @@ The following variables may be set to alter the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). Conversion uses lexical order. | | `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. Must not be combined with `--force-tree`. | -| `DFATOOL_FOL_SECOND_ORDER` || **0**, 1 | Add second-order components (interaction of feature pairs) to first-order linear function. | +| `DFATOOL_FOL_SECOND_ORDER` | **0**, 1 | Add second-order components (interaction of feature pairs) to first-order linear function. | ## Examples |