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Hello,
I am looking to verify how categorical features are handled for models that support categorical features. I've found things here and there like [this](https://nixtlaverse.nixtla.io/mlforecas…
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what's the state on this? it seems that Python package has some limited support for it: https://xgboost.readthedocs.io/en/stable/tutorials/categorical.html
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Convert categorical features (Category, Subcategory, Country) into numerical representation
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https://github.com/khusmann/frictionless-categorical-examples/tree/main/table-based-categoricals#some-theoretical-questions
I believe the default for 'valueField' should be 'value' as it is in the …
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### Description
I guess an actual TFT can handle categorical features with embeddings, does nixtla have something similar or it always needs to be done manually with label encodings?
### Use case
I…
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When modeling with `glum` using a dataset containing both categorical and numeric features, I want to manually set base levels for the categorical fields. This can be done in `statsmodels` models with…
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feed0 updated
15 hours ago
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With missing data, I'm getting:
````
Error in if (nth < 1L) next : missing value where TRUE/FALSE needed
Calls: blavaan ... lav_lavaan_step04_partable -> lavParTable -> lav_partable_flat
In additi…
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Would it be possible to add the ability to use categorical (ie, String) values in a heatmap, mapped to a color scale?
This is currently possible only by mapping to numeric values and spoofing a co…
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### Willingness to contribute
No. I cannot contribute this feature at this time.
### Proposal Summary
I would like support for [pandas categorical data](https://pandas.pydata.org/docs/user_guide/ca…