Alternatives and similar repositories for pysubgroup:

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

• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆78Updated 4 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆100Updated 2 years ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆57Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• sherbold / autorank
  ☆76Updated 6 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆68Updated 2 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated last year
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated last year
• awslabs / amazon-denseclus
  Clustering for mixed-type data
  ☆99Updated 8 months ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated 11 months ago
• VIDA-NYU / PipelineVis
  Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
  ☆84Updated last year
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆103Updated 9 months ago
• benedekrozemberczki / tigerlily
  TigerLily: Finding drug interactions in silico with the Graph.
  ☆99Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 5 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 2 years ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆72Updated last month
• imoscovitz / wittgenstein
  Ruleset covering algorithms for transparent machine learning
  ☆103Updated last month
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆36Updated 8 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated 2 months ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆94Updated last week
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆40Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆267Updated last week
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆96Updated 7 months ago
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆58Updated last month