scikit-learn-contrib / stability-selectionLinks
scikit-learn compatible implementation of stability selection.
☆212Updated 2 years ago
Alternatives and similar repositories for stability-selection
Users that are interested in stability-selection are comparing it to the libraries listed below
Sorting:
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- Data imputations library to preprocess datasets with missing data☆360Updated 3 years ago
- A fast xgboost feature selection algorithm☆222Updated 4 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated 2 months ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- A Python library for dynamic classifier and ensemble selection☆487Updated last year
- Python implementation of the rulefit algorithm☆420Updated last year
- Python module for machine learning time series:☆576Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- A garden for scikit-learn compatible trees☆287Updated last year
- Parallelized Mutual Information based Feature Selection module.☆286Updated 3 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆616Updated 3 months ago
- scikit-learn compatible projects☆411Updated 2 months ago
- Python Accumulated Local Effects package☆167Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆229Updated 4 years ago
- ML-Ensemble – high performance ensemble learning☆858Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 2 weeks ago
- Missing Data Imputation for Python☆243Updated last year
- Genetic feature selection module for scikit-learn☆323Updated last year
- Python package for Imputation Methods☆248Updated last year
- machine learning with logical rules in Python☆639Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆521Updated 3 months ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆133Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆618Updated last year
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 11 months ago
- minepy - Maximal Information-based Nonparametric Exploration☆228Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- Repo for the ML_Insights python package☆152Updated 2 months ago
- An extension of CatBoost to probabilistic modelling☆144Updated last year