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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.models.random_effects#

Core random effects Bayesian layers

Functions

make_deterministic_posterior_fn()

make_fixed_prior_fn(prior_scale)

make_gamma_prior_fn()

make_posterior_fn(post_loc_init_scale, ...)

make_trainable_prior_fn(prior_scale)

Classes

ClusterScaleBiasBlock(*args, **kwargs)

GammaRandomEffects(*args, **kwargs)

NamedVariableLayer(*args, **kwargs)

RandomEffects(*args, **kwargs)

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Copyright © 2023, Kevin P Nguyen, Alex Treacher, Albert Montillo
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