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Ehy dear,
I m looking in FAMD with Python. I will ask, in PCA is very important the standardization before compute the algorithm( https://scikit-learn.org/stable/auto_examples/preprocessing/plot_sca…
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Hi, I'm very interested in this lib. I'm trying to test the guideline example of FAMD explained [here](https://pypi.org/project/light-famd/#factor-analysis-of-mixed-data-famd) using Colab. But it thro…
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I can find the examples for categorical data in various formats?
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The output of the FAMD transformation depends on the number of rows that are processed as shown by the following code:
```
import warnings
warnings.simplefilter(action='ignore', category=FutureWarn…
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[Pandas 1.0](https://pandas.pydata.org/docs/whatsnew/v1.0.0.html) removed some functionalities previously deprecated, and some features seems to be broken. For example, trying to fit a FAMD gives the …
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Excuse me be this looks suspiciously similar to [prince](https://github.com/MaxHalford/prince), is there any particular reason why you created this repository?
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Hello.
First of all, thanks for this great tool.
I noticed a bug when trying to transform using version 0.6.4. When:
```
import prince
nc = int(X_train.shape[1] * 0.1)
famd = prince.FA…
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Hi,
I like very much your software and saw this morning that version 2.0 was available on CRAN. As often, I am curious to see what has changed, especially for a major version like this.
However, the…
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When running the famd the model creates a column for each category within each categorical variable. For the best of my understanding, this creates a multicollinearity issue, as the created binary col…