scikit-learn-contrib / polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
☆245Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for polylearn
- Bayesian Optimization using xgboost and sklearn API☆224Updated 8 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆378Updated 2 years ago
- Library for machine learning stacking generalization.☆117Updated 5 years ago
- XGBoost Feature Interactions Reshaped☆426Updated 6 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 3 years ago
- XGBoost Feature Interactions & Importance☆496Updated 7 years ago
- optimization routines for hyperparameter tuning☆416Updated 11 months ago
- pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM☆250Updated 5 years ago
- It is a forest of random projection trees☆223Updated 4 years ago
- ☆162Updated 3 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 5 years ago
- A Python wrapper for the libffm library.☆243Updated 6 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Updated 7 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- Just some of my kaggle scripts☆89Updated 9 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Python binding for Microsoft LightGBM☆340Updated 5 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆198Updated 8 months ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆102Updated last year
- scikit-learn compatible projects☆407Updated 2 years ago
- A Python wrapper for LibFFM☆120Updated 5 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- lightweight python wrapper for vowpal wabbit☆166Updated 4 years ago
- Python library for distributed AI processing pipelines, using swappable scheduler backends.☆413Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆282Updated 3 months ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆181Updated last year
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- A PyTorch implementation of a Factorization Machine module in cython.☆173Updated 6 years ago