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Source code of the variable selection for compositional data paper (ICML 2023)

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Kernel Variable Selection for Compositional Data via Amalgamation

Experiment codes for the paper "Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation" by Junyoung Park, Jeongyoun Ahn, and Cheolwoo Park (ICML 2023).

Description

The python file ccm_coda.py contains the source code for our proposed method for variable selection. Example code is provided in this file. The code requires Tensorflow of version 2.x.

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Source code of the variable selection for compositional data paper (ICML 2023)

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