EpistasisLab / scikit-mdr
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
☆126Updated last year
Related projects ⓘ
Alternatives and complementary repositories for scikit-mdr
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆210Updated 7 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 5 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- A scikit-learn compatible implementation of hyperband☆75Updated 5 years ago
- A simple, extensible library for developing AutoML systems☆173Updated last year
- ☆162Updated 3 years ago
- scikit-learn compatible implementation of stability selection.☆210Updated last year
- bayesian bootstrapping in python☆121Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆284Updated 4 months ago
- Bayesian Optimization using xgboost and sklearn API☆224Updated 8 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆409Updated last year
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆32Updated 6 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- A garden for scikit-learn compatible trees☆285Updated 5 months ago
- ☆30Updated 6 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆262Updated 3 months ago
- Patsy Adaptors for Scikit-learn☆48Updated 5 years ago
- Numerical machines in Python☆95Updated 10 years ago
- Some experiments into explaining complex black box ensemble predictions.☆73Updated 4 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆171Updated 5 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 5 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated last year
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 3 years ago
- Automated machine learning (AutoML) with grammar-based genetic programming☆52Updated 5 months ago
- ☆158Updated 2 years ago
- ☆74Updated 5 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆47Updated 7 years ago