tmadl / sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
☆487Updated 7 years ago
Alternatives and similar repositories for sklearn-expertsys:
Users that are interested in sklearn-expertsys are comparing it to the libraries listed below
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆465Updated this week
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- ☆754Updated last year
- A library for defensive data analysis.☆500Updated 5 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 8 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Updated last year
- A garden for scikit-learn compatible trees☆286Updated 8 months ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆211Updated 7 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.☆514Updated last month
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆553Updated 2 months ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆500Updated 3 years ago
- Confidence intervals for scikit-learn forest algorithms☆285Updated 7 months ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Describing statistical models in Python using symbolic formulas☆964Updated this week
- PCA that iteratively replaces missing data☆221Updated last year
- ML-Ensemble – high performance ensemble learning☆849Updated last year
- machine learning with logical rules in Python☆628Updated last year
- Tools for exploratory data analysis in Python☆645Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- A Pandas Styler class for making beautiful tables☆416Updated 2 years ago
- Compiled Decision Trees for scikit-learn☆224Updated 9 months ago
- Multiple correspondence analysis☆180Updated 2 months ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- ☆162Updated 3 years ago
- Machine Learning toolbox for Humans☆691Updated 7 months ago