Comments (5)
MaxHalford
commented on August 25, 2024
2
Hey there,
Your request is a good one. I'll make a note and try to get it done soon.
Cheers.
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MaxHalford
commented on August 25, 2024
1
I just implemented inverse_transform for the PCA class. I'm not exactly sure about how to go about this for CA, MCA and FAMD but I'm making steady progress. Feel free to contribute!
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Melkaz
commented on August 25, 2024
Hey @MaxHalford, any news about implementing this nice feature ?
Thanks :) !
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frazerng
commented on August 25, 2024
Hi there @MaxHalford, will there be any updates on this? If not can you give some rough guidance on how to proceed with inverse transforming the data?
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MaxHalford
commented on August 25, 2024
Hey there! Actually I took a look and I have no idea on how to do this for FAMD, sorry :(. Actually I'm pretty sure you could write a scientific paper if you found a way haha.
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Related Issues (20)
- Unable to allocate memory HOT 4
- FAMD transform ValueError on qualitative data HOT 1
- 'MCA' object has no attribute '_check_is_fitted' with .transform HOT 2
- Not compatible with pandas 2.0.0 HOT 4
- Sklearn GridSearchCV: 'MCA' object has no attribute 'set_params' HOT 3
- Difficulty applying FMA with a group of categorical variables. HOT 1
- Handle_unknown in OneHotEncoder (FAMD) method HOT 5
- Information regarding Inverse MCA HOT 2
- MCA: plotting assumes raw dataset has already run get_dummies HOT 7
- prince.PCA vs. sklearn.decomposition.PCA? HOT 3
- UserWarning "pandas.DataFrame with sparse columns found" when running famd() HOT 1
- Feature idea: biplot HOT 2
- Compatibility with altair 5.0.x HOT 7
- Feature Idea: Weights HOT 3
- How to transform on new unseen test data? HOT 3
- CA.row_coordinates only works with pd.DataFrame HOT 5
- FAMD fit method not compatible with scikit-learn pipeline HOT 2
- MCA doesn't work with column transformers of sklearn HOT 2
- Bug in FAMD transform() HOT 1
- Support for sklearn Pipelines HOT 1
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