Comments (4)
Great. I should finish initial testing this week and be able to have it available as an option in linearmodels.
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Also strange with "y ~ 1 + -x"
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This is actually intended behaviour in formulaic, modulo the unhelpful error message which will be improved soon.
When parsing formulas, formulaic currently ignores whitespace, and allows people to customise the operator handling however they wish (including adding a ++
or +-
operator for cases like these, or other operators of their choosing like %in%
).
I personally would find formulas written like this confusing, but it looks like R coalesces ++
and +-
into +
and -
respectively, and otherwise treats +
and -
as unary operators when adjacent to another operator. Patsy also coalesces ++
to +
, but throws an error on +-
or similar combinations.
Given that I'd like to maximise compatibility with R, I think there's a legitimate use-case here to support these kinds of operators. A naive way would be to literally add handling for operators like ++
, +-
, *+
, *-
, etc; but the number of operators you would need to be complete is a bit annoying. I think I'll add an extra step to the infix-to-ast processor that allows operators to be "greedy", effectively splitting tokenised operators into two or more operators if the beginning of the operator matches a greedy operator type. This would allow formulaic to support these use-cases without having to manually add all the possible combinations.
Any thoughts on this approach?
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Related Issues (20)
- How to include structural zeros? HOT 1
- Retain Column Names for sparse model matrices HOT 4
- Formulaic not raising an exception when required fields are missing in the dataset HOT 2
- Allow formatting the categorical encoded variables HOT 4
- Throw error when formula has parameters that are not available HOT 2
- Support polars HOT 5
- Dropping Indices via "+0" or "-1" and reference levels for categoricals HOT 1
- Extending `formulaic` to work with other input types HOT 2
- Handling individual columns that can expand into multiple columns HOT 7
- Support the hashing trick as an encoding strategy for categorical features HOT 6
- `model_spec.transform_state` bugged when formula is not correctly written HOT 1
- Is there a way to get the baseline value for categorical variables? HOT 7
- Add . operator HOT 1
- Suggestions for creating `get_feature_names_out` for Scikit Learn ColumnTransformer compatibility? HOT 3
- Is it possible to define custom operators? HOT 2
- Is it possible to force the `Formula` class to not expand categorical variables? HOT 3
- Add required variables to the `Formula` class HOT 6
- Potential Bug / different defaults for Intercept / Reference Levels when using `Formula.get_model_matrix()` with categoricals HOT 2
- Potential bug in Interacting variables via `:` syntax for categorical variables HOT 3
- Incompatibility with pandas development version HOT 3
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