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  • API
  • User guide
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  • Glossary and Notations
  • What’s new
  • Developer Documentation
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  • Leave-One-Covariate-Out (LOCO) feature importance with different regression models
  • Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners
  • Conditional vs Marginal Importance on the XOR dataset
  • Variable Selection Under Model Misspecification
  • Knockoff aggregation
  • Conditional Randomization Test for Sparse Logistic Regression
  • Pixel-wise inference on digit classification
  • Coefficient estimates with Desparsified Lasso on the diabetes dataset
  • Source localization of somatosensory MEG data
  • Support Recovery on fMRI Data
  • Controlled multiple variable selection on the Wisconsin breast cancer dataset
  • Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset
  • Ensemble Clustered Inference on 2D Data
  • Getting Started
    • Visualization with HiDimStat
    • General pipeline to assess feature importance
    • Measuring Individual and Group Variable Importance for Classification
    • Feature Importance using Cross-Validation
  • Examples Gallery
  • Getting Started

Getting Started#

Examples to illustrate the basic usage of HiDimStat.

Visualization with HiDimStat

Visualization with HiDimStat

General pipeline to assess feature importance

General pipeline to assess feature importance

Measuring Individual and Group Variable Importance for Classification

Measuring Individual and Group Variable Importance for Classification

Feature Importance using Cross-Validation

Feature Importance using Cross-Validation

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Ensemble Clustered Inference on 2D Data

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Visualization with HiDimStat
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