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Software accompanying "NeuralFDR: Learning Discovery Thresholds from Hypothesis Features"

Home Page: https://arxiv.org/pdf/1711.01312.pdf

Python 100.00%

neuralfdr's Introduction

NeuralFDR

Software accompanying "NeuralFDR: Learning Discovery Thresholds from Hypothesis Features", NIPS 2017

Dependencies

You will have to install PyTorch to run the code, follow the instructions from http://pytorch.org

Download the data

Download the data used in the paper from this dropbox folder.

Train a NeuralFDR model

python train.py --data data/data_airway.csv --dim 1 --out airway

The report will be available in airway folder

neuralfdr's People

Contributors

fxia22 avatar martinjzhang avatar

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