README.txt

This archive contains all the code that produces our experiments as presented in our paper:

S. Schnapp, S. Sabato, "Active Feature Selection for the Mutual Information Criterion", AAAI 2021, to appear.

To run the experiments for actively estimating the mutual information of a single feature, follow the instructions in the README.txt file in the "active_estimation_for_a_single_feature" folder. To run the experiments for active feature selection, follow the instructions in the README.txt file in the "active _feature_selection_algorithm" folder.

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Environment

Before you run the code, check that you have python 3.6 installed on you device. Then go to code directory and set the PYTHONPATH to the code directory using the following command line: sudo export PYTHONPATH="./"

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Module dependencies

python3.6 -m pip install scipy python3.6 -m pip install numpy python3.6 -m pip install matplotlib python3.6 -m pip install sklearn python3.6 -m pip install torch