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
  ☆645Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆634Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 6 months ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆525Updated 6 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 5 months ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 3 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆859Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆491Updated last month
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆275Updated last week
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆337Updated 8 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last month
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆647Updated last month
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 5 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago