Custom Feature Reduction Options In Visual/Auto ML

[kathyqingyuxu]

Hello Dataikers,

I have a use case where our end users are interested in customizing the feature reduction options in the Visual/Auto ML UI. Dataiku already offers end users the capability to create custom python models in the algorithm section, customize the metrics for model evaluation, and also to customize the cross-validation strategy. Some users want a method for feature reduction focused on the cut-off of correlation values and not for specific top # of features (i.e. with the out of the box correlation with target method). This would be helpful to allow end users to adjust where possible.

Best,

Kathy

[kathyqingyuxu]

This would also be helpful for end users interested in leveraging additional methods like recursive feature reduction: Recursive Feature Elimination (RFE) for Feature Selection in Python - MachineLearningMastery.com, and other techniques not already available out-of-the-box.

Thanks!

[kathyqingyuxu]

This would also be helpful for end users interested in leveraging additional methods like recursive feature reduction: Recursive Feature Elimination (RFE) for Feature Selection in Python - MachineLearningMastery.com, and other techniques not already available out-of-the-box.

Thanks!