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fjpa121197 avatar fjpa121197 commented on July 28, 2024

Hi @asimovidick,

They recently included the feature to use Featurewiz as a scikit-learn compatible transformer.

From their documentation, the following examples shows how to use it:

from featurewiz import FeatureWiz
features = FeatureWiz(corr_limit=0.70, feature_engg='', category_encoders='', dask_xgboost_flag=False, nrows=None, verbose=2)
X_train_selected = features.fit_transform(X_train, y_train)
X_test_selected = features.transform(X_test)
features.features  ### provides the list of selected features ###

You can save the feature object using pickle (I think) and then use it with new data.

from featurewiz.

AutoViML avatar AutoViML commented on July 28, 2024

Hi @fjpa121197 👍
You are exactly right - thanks for the answer.

from featurewiz.

asimovidick avatar asimovidick commented on July 28, 2024

That was really great! Thanks!! @fjpa121197

from featurewiz.

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