how to create RobustScaler ?

[xlorne]

with python some time ,that need RobustScaler to normal data. how to build RobustScaler on DJL?

from sklearn.preprocessing import RobustScaler
scaler = RobustScaler()
scaler.fit_transform(data)

[siddvenk]

You can use the Featurizer interface in the basicdataset module to implement the RobustScaler().

After implementing the RobustScaler as a Featurizer, you can use it to process Features in your dataset using the addFeature() method of TabularDataset class: addFeature(new Feature("feature-name", new RobustScalerFeaturizer())

[xlorne]

ok, that need self to implement? thanks.

[siddvenk]

Yes that's correct. We don't have this implemented in DJL right now so you would need to implement it yourself. We would welcome a contribution if you would like to raise a PR.

[xlorne]

Of course, if i can done that. ☺