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All Projects → Extreme-classification → DECAF

Extreme-classification / DECAF

Licence: MIT license
DECAF: Deep Extreme Classification with Label Features

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machine-learningdeep-learningclassificationmulti-label-classificationdecafmeta-dataextreme-classificationlabel-textlabel-features

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DECAF

DECAF: Deep Extreme Classification with Label Features

@InProceedings{Mittal21,
    author = "Mittal, A. and Dahiya, K. and Agrawal, S. and Saini, D. and Agarwal, S. and Kar, P. and Varma, M.",
    title = "DECAF: Deep Extreme Classification with Label Features",
    booktitle = "Proceedings of the ACM International Conference on Web Search and Data Mining",
    month = "March",
    year = "2021",
    }

SETUP WORKSPACE

mkdir -p ${HOME}/scratch/XC/data 
mkdir -p ${HOME}/scratch/XC/programs

SETUP DECAF

cd ${HOME}/scratch/XC/programs
git clone https://github.com/Extreme-classification/DECAF.git
conda create -f DECAF/decaf_env.yml
conda activate decaf
git clone https://github.com/kunaldahiya/pyxclib.git
cd pyxclib
python setup.py install
cd ../DECAF

DOWNLOAD DATASET

cd ${HOME}/scratch/XC/data
gdown --id <dataset id>
unzip *.zip
dataset dataset id
LF-AmazonTitles-131K 1VlfcdJKJA99223fLEawRmrXhXpwjwJKn
LF-WikiSeeAlsoTitles-131K 1edWtizAFBbUzxo9Z2wipGSEA9bfy5mdX
LF-AmazonTitles-1.3M 1Davc6BIfoTIAS3mP1mUY5EGcGr2zN2pO

RUNNING DECAF

cd ${HOME}/scratch/XC/programs/DECAF
chmod +x run_DECAF.sh
./run_DECAF.sh <gpu_id> <DECAF TYPE> <dataset> <folder name>
e.g.
./run_DECAF.sh 0 DECAF LF-AmazonTitles-131K DECAF_RUN
./run_DECAF.sh 0 DECAF-lite LF-AmazonTitles-131K DECAF_RUN

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