Re: [scikit-learn] Regarding design decision for putting Data Scaler and Feature Transformers under same module

[Guillaume Lemaître]

You all apply them before to use any machine learning algorithm. They are preprocessing methods.  Sent from my phone - sorry to be brief and potential misspell. From: hemanth.ge...@gmail.com Sent: 8 October 2019 14:49 To: scikit-learn@python.org Reply to: scikit-learn@python.org Subject: [scikit-learn] Regarding design decision for putting Data Scaler and Feature Transformers under same module Hi Team,  I'm beginner in using sklearn library. I have doubt regarding reason for putting Data scalers like StandardScaler, RobustScaler etc and feature transformers like QuantileTransformer, PolynomialFeatures in preprocessing module ? What relationship made to put them together? Thanks  Hemanth

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