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ARMED documentation
ARMED documentation

Contents:

  • Setup
  • API Reference
    • armed
      • armed.callbacks
        • armed.callbacks.aec_callbacks
        • armed.callbacks.segmentation
      • armed.crossvalidation
        • armed.crossvalidation.grouped_cv
        • armed.crossvalidation.splitting
      • armed.metrics
      • armed.misc
      • armed.models
        • armed.models.autoencoder_classifier
        • armed.models.cnn_classifier
        • armed.models.lme
        • armed.models.metalearning
        • armed.models.mlp_classifiers
        • armed.models.random_effects
      • armed.settings
      • armed.tfutils
  • Applications
    • Synthetic datasets
    • Classification of stable vs. progressive mild cognitive impairment (MCI)
    • Alzheimer’s Disease diagnosis from T1-weighted MRI
    • Live cell image compression and classification
  • License
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armed.crossvalidation#

Custom cross-validation tools derived from those in sklearn

Modules

armed.crossvalidation.grouped_cv

Custom scikit-learn KFolds for grouped AND stratified splitting, created by hermidalc https://github.com/scikit-learn/scikit-learn/issues/13621#issuecomment-656094573 ----- 12/28/2020

armed.crossvalidation.splitting

Classes for holding data with K-Fold cross-validation

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armed.crossvalidation.grouped_cv
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armed.callbacks.segmentation
Copyright © 2023, Kevin P Nguyen, Alex Treacher, Albert Montillo
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