Comments (3)
Thanks for the fast response!
from formulaic.
Thanks for reporting @CamDavidsonPilon . Will take a look at fixing it now!
from formulaic.
Whoops. Some series were being generated with the default index (and being conflated with the original index). This was fixed in 6567f44, and shipped as part of version 0.2.2 .
Let me know if anything else crops up!
from formulaic.
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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