This repository contains the implementation of the Stacked Generalization (aka SuperLearner) which lead me to almost win 3 Kaggle Competitions.
- 22nd out of 1737 in Santander Product Recommendation competition.
- 22nd out of 2926 in BNP Paribas competition.
- 76th out of 2226 in SpringLeaf competition.
Check my profile here! https://www.kaggle.com/ivallesp
If you want to learn more about this ensembling algorithm, check out this fantastic paper
You can install the library by running pip install scikit-stack.
The libraries required are pandas, numpy and scikit-learn. Please, check out you have them installed and updated. Once all has been installed, please, try to run the example_classification.ipynb notebook to check everything is working correctly.
The library is totally open for contribution. If you want to fix a bug, extend the library or make any other contribution, please, send a pull request. It will be reviewed as soon as possible.
Copyright (c) 2017 Iván Vallés Pérez. Licensed under MIT rights, please, review the LICENSE file.