Alternatives and similar repositories for rulefit

Users that are interested in rulefit are comparing it to the libraries listed below

• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆637Updated last year
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆854Updated 9 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆488Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆615Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆522Updated 2 months ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆803Updated 2 years ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆476Updated 2 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆616Updated last month
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆270Updated last week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆540Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆856Updated last year
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆431Updated 3 months ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆186Updated 5 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆323Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆380Updated 10 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆287Updated 11 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated last month
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆312Updated 11 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆227Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago