Help with feature_engineering and feature selection

[satwiksunnam19]

As the @AutoViML said that the soul of the featurewiz is built to solve two problems

1. Feature Engineering
2. Feature Selection
   As per the instructions given through my last issue @AutoViML has guided me with a code used to build the features using the code snippet described below 👍

trainm, testm = FW.featurewiz(dataname=train, target=target, corr_limit=0.70, verbose=2, sep=',', header=0, test_data=test, feature_engg='', category_encoders='',dask_xgboost_flag=False, nrows=None)

This snippet seems working but it's not producing any feature-engineered features(new features from existing features) using the parameters given to "feature_engg" it's just performing the feature selection it's returning two data frames trainm&testm but with existing features. can @AutoViML help me with my doubts by giving solutions and giving straightforward snippets to feature selection and feature engineering(developing new features from existing ones)

I am thanking you in Advance!

[AutoViML]

Hi @satwiksunnam19 👍
Thanks for being patient. yes you are right. There was a minor oversight when feature engg+ feature selection is combined. That has been fixed. Please upgrade via:

!pip install featurewiz --upgrade

hope this fixes it.
Autovimal