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As discussed with @torfjelde on slack:
```julia
using Distributions, Turing
# LDA example -- copied over from
# https://github.com/TuringLang/Turing.jl/issues/668#issuecomment-1153124051
func…
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Hey,
I have 2 questions regarding how FLAML handles categorical variables on new data, different from the initial training dataset (for example, during inference after model deployment).
1. Does i…
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Will it work for categorical data?
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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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### Issue Description
Hi,
I'm working on binary classification using the CatboostClassifier(). My dataset is large, featuring a large set of categorical features. Due to this, I've opted to use the …
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Возникает ошибка в функции [`data_has_categorical_features`](https://github.com/aimclub/FEDOT/blob/f02b6262adfbd1d7052e4456b953f2848f6cda42/fedot/core/data/data_preprocessing.py#L127), лог примерно та…
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I am trying to train a model that recognizes many fonts, however it appears to not work with more than 5 fonts.
I have replaced the conv_label function with
```py
font_list = {}
def conv_label(la…
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## Use Case
When exporting, the key or legend should be shown for continuous, discrete, and categorical feature data.
## Acceptance Criteria
- Needs UX work!
- Show an overlay (or sidebar) i…
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#### Issue:
When using integer values as categorical variable in a strip / box / violin plot, the values of the categorical variable are mapped to a continuous numeric axis even if the values are o…
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https://xgboost.readthedocs.io/en/latest/tutorials/categorical.html