MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
An ICML 2018 paper by Amirali Aghazadeh*, Ryan Spring*, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk
* These authors contributed equally and are listed alphabetically.
- Mission Logistic Regression
- Mission Softmax Regression
- Feature Hashing Softmax Regression
- Mission streams in the dataset via Memory-Mapped I/O instead of loading everything directly into memory -
Necessary for Tera-Scale Datasets - AVX SIMD optimization for fast Softmax Regression
- The code is currently optimized for the Splice-Site and DNA Metagenomics datasets.