Ready-to-use text classification corpus generation from TechTC-300 Test Collection . The final dataset uses chi-squared feature selection and tf-idf feature weighting. Classification is done using a Decision-Jungle classifier in AzureML .

• Clone the repo: git clone https://github.com/jaindeepali/Adler
• Create config file from sample: cp Adler/config/sample.config.json Adler/config/config.json
• Open config.json and edit the path to the data directory
• Create python virtual environment: virtualenv .venv
• Activate virtual environment: source .venv/bin/activate
• Install Adler package: python setup.py install
• Run script to generate dataset: /scripts/generate.py