Magdalena Kowalczuk

Hi hi! I'm going to add a usage example to sklego.meta.outlier_classifier.OutlierClassifier. I have a question though, it requires both X, y in fit, otherwise it raises a ValueError. I understand...

According to the docs, the intention was to morph this outlier model into a classifier, thus making the use of metrics possible.

I'll work this week on usage examples for the following three classes preprocessing.pandastransformers.PandasTypeSelector preprocessing.projections.InformationFilter preprocessing.repeatingbasis.RepeatingBasisFunction

I'll work on these: preprocessing.formulaictransformer.FormulaicTransformer preprocessing.identitytransformer.IdentityTransformer preprocessing.intervalencoder.IntervalEncoder I also noticed that some examples start with "Examples" and some with "Example" and it has an influence on how the example is...

Grabbing these: decomposition.pca_reconstruction.PCAOutlierDetection decomposition.umap_reconstruction.UMAPOutlierDetection Also, what would be a more elegant example- applying them on ndrrays or a dataframe?

I'll take care of those: model_selection.TimeGapSplit model_selection.GroupTimeSeriesSplit model_selection.KlusterFoldValidation

Sure thing!

Yeah, let's unify the output and add the warning. Anyways, I think it's a handy feature to sum booleans. Could you explain in more detail why would you like to...

Sounds fair! Then I'll close this one

I'll take that. Just found out that Polars documentation doesn't show examples for dtypes. And Pandas documentation has examples that look like: ``` >>>pd.BooleanDtype() BooleanDtype ```