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This repository has been archived by the owner on Nov 29, 2022. It is now read-only.
I've setup my model via TransformedOutcome, then wanted to check all the NIV features. However, when I use NIV (dict, or plot) all the included features are empty. The rest of the steps work and I get plots further down the line, but the NIV being empty leads me to believe they are incorrect.
Setting up the model
up = TransformedOutcome(df, col_treatment='Response', col_outcome='TotalRevenueFoodItems',random_state=4, stratify=y)
Call NIV
up.NIV_dict
Output of NIV: see screenshot
Thank you.
The text was updated successfully, but these errors were encountered:
At the moment, NIV is only implemented for binary outcomes.
I'm currently developing on my own branch at https://github.com/pylift/pylift (I'm no longer at wayfair and lost access to the repo), so if you open an issue there I'd be happy to add this functionality in.
Hello,
I've setup my model via TransformedOutcome, then wanted to check all the NIV features. However, when I use NIV (dict, or plot) all the included features are empty. The rest of the steps work and I get plots further down the line, but the NIV being empty leads me to believe they are incorrect.
Setting up the model
up = TransformedOutcome(df, col_treatment='Response', col_outcome='TotalRevenueFoodItems',random_state=4, stratify=y)
Call NIV
up.NIV_dict
Output of NIV: see screenshot
Thank you.
The text was updated successfully, but these errors were encountered: