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SuPAErnova

supaernova.steps.nflow.tf.loss

SuPAErnova

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  Data
- Probabilistic AutoEncoder
  Probabilistic AutoEncoder
- Normalising Flow
  Normalising Flow
- Posterior Analysis
  Posterior Analysis
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Examples
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  Data
  - Quick Start
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- Probabilistic AutoEncoder
  Probabilistic AutoEncoder
  - Quick start
  - Advanced
- Normalising Flow
  Normalising Flow
  - Quick start
  - Advanced
- Posterior Analysis
  Posterior Analysis
  - Quick start
  - Advanced
Design
Design
- Data
  Data
- Probabilistic AutoEncoder
  Probabilistic AutoEncoder
- Normalising Flow
  Normalising Flow
- Posterior Analysis
  Posterior Analysis
Development
Development
- Data
  Data
- Probabilistic AutoEncoder
  Probabilistic AutoEncoder
- Normalising Flow
  Normalising Flow
- Posterior Analysis
  Posterior Analysis
API
API
- supaernova
  supaernova
  - supaernova.analysis
    
    supaernova.analysis
    
    supaernova.analysis.analysis
    
    supaernova.analysis.dispersion
    
    supaernova.analysis.distribution
    
    supaernova.analysis.spectra
  - supaernova.configs
    
    supaernova.configs
    
    supaernova.configs.steps
    
    supaernova.configs.steps
    
    supaernova.configs.steps.nflow
    
    supaernova.configs.steps.nflow
    
    supaernova.configs.steps.nflow.model
    
    supaernova.configs.steps.nflow.nflow
    
    supaernova.configs.steps.nflow.tf
    
    supaernova.configs.steps.pae
    
    supaernova.configs.steps.pae
    
    supaernova.configs.steps.pae.model
    
    supaernova.configs.steps.pae.pae
    
    supaernova.configs.steps.pae.tf
    
    supaernova.configs.steps.posterior
    
    supaernova.configs.steps.posterior
    
    supaernova.configs.steps.posterior.model
    
    supaernova.configs.steps.posterior.posterior
    
    supaernova.configs.steps.posterior.tf
    
    supaernova.configs.steps.backends
    
    supaernova.configs.steps.data
    
    supaernova.configs.steps.model
    
    supaernova.configs.steps.steps
    
    supaernova.configs.configs
    
    supaernova.configs.globals
    
    supaernova.configs.input
    
    supaernova.configs.paths
  - supaernova.steps
    
    supaernova.steps
    
    supaernova.steps.nflow
    
    supaernova.steps.nflow
    
    supaernova.steps.nflow.tf
    
    supaernova.steps.nflow.tf
    
    supaernova.steps.nflow.tf.loss supaernova.steps.nflow.tf.loss
    Table of contents
    
    NegLogLikelihood
    
    supaernova.steps.nflow.tf.tf
    
    supaernova.steps.nflow.model
    
    supaernova.steps.nflow.nflow
    
    supaernova.steps.pae
    
    supaernova.steps.pae
    
    supaernova.steps.pae.tf
    
    supaernova.steps.pae.tf
    
    supaernova.steps.pae.tf.loss
    
    supaernova.steps.pae.tf.tf
    
    supaernova.steps.pae.model
    
    supaernova.steps.pae.pae
    
    supaernova.steps.posterior
    
    supaernova.steps.posterior
    
    supaernova.steps.posterior.tf
    
    supaernova.steps.posterior.tf
    
    supaernova.steps.posterior.tf.hmc
    
    supaernova.steps.posterior.tf.loss
    
    supaernova.steps.posterior.tf.map
    
    supaernova.steps.posterior.tf.tf
    
    supaernova.steps.posterior.model
    
    supaernova.steps.posterior.posterior
    
    supaernova.steps.backends
    
    supaernova.steps.data
    
    supaernova.steps.model
    
    supaernova.steps.steps
  - supaernova.typing
    
    supaernova.typing
    
    supaernova.typing.steps
    
    supaernova.typing.steps
    
    supaernova.typing.steps.nflow
    
    supaernova.typing.steps.nflow
    
    supaernova.typing.steps.nflow.nflow
    
    supaernova.typing.steps.nflow.tf
    
    supaernova.typing.steps.nflow
    
    supaernova.typing.steps.nflow
    
    supaernova.typing.steps.nflow.nflow
    
    supaernova.typing.steps.nflow.tf
    
    supaernova.typing.steps.data
    
    supaernova.typing.steps.posterior
    
    supaernova.typing.dimensions
  - supaernova.logging
  - supaernova.supaernova

Table of contents

NegLogLikelihood

supaernova.steps.nflow.tf.loss

source module supaernova.steps.nflow.tf.loss

Functions

NegLogLikelihood

source NegLogLikelihood(y_true, y_pred, *, model: TFNFlowModel)

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