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LogoARFS Documentation

User's guide

  • Introduction
  • Methods overview
  • src
    • arfs package

Tutorials

  • Preprocessing - encoding, discretization, dtypes
  • Preprocessing - Basic feature selection
  • Association and Feature Selection
  • Link to feature selection
  • ARFS - classification
  • ARFS - regression
  • ARFS - user defined cross validation scheme - Time series applicaition
  • ARFS - How to use with large data?
  • ARFS - Using GPU
  • ARFS - fasttreeshap vs shap
  • ARFS - Customizing GrootCV
  • ARFS vs Boruta and BorutaShap
  • ARFS - Non Normal loss and Sample Weight
  • MRmR - regression and classification
  • ARFS vs MRmr
  • Lasso Regularized GLM for Feature Selection in Python
  • ARFS with Categorical predictors
  • ARFS - Is collinearity harmul?
ARFS Documentation
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Overview: module code

All modules for which code is available

  • arfs.association
  • arfs.benchmark
  • arfs.feature_selection.allrelevant
  • arfs.feature_selection.base
  • arfs.feature_selection.lasso
  • arfs.feature_selection.mrmr
  • arfs.feature_selection.summary
  • arfs.feature_selection.unsupervised
  • arfs.feature_selection.variable_importance
  • arfs.gbm
  • arfs.parallel
  • arfs.preprocessing
  • arfs.sampling
  • arfs.utils

© 2024, Thomas Bury Last updated: April 02, 2025 at 14:55. Built with Sphinx 6.2.1