Learn multi-label logistic regression model with feature hashing and adaptive learning rate.
This is my experimental code for Tradeshift Text Classification contest on Kaggle. I took the solution code in this post, and modularize it with a little more functionality for experiments, including
- plugable different feature transformations
- data shuffling with fixed memory usage