gensbi.experimental.recipes#
Submodules#
Classes#
Pipeline for training and evaluating 1D Variational Autoencoders (VAE1D) in GenSBI. |
|
Pipeline for training and evaluating 2D Variational Autoencoders (VAE2D) in GenSBI. |
Package Contents#
- class gensbi.experimental.recipes.VAE1DPipeline(train_dataset, val_dataset, params, training_config=None)[source]#
Bases:
AbstractVAEPipelinePipeline for training and evaluating 1D Variational Autoencoders (VAE1D) in GenSBI.
Inherits from AbstractVAEPipeline and uses the AutoEncoder1D model class.
- Parameters:
params (gensbi.experimental.models.autoencoders.AutoEncoderParams)
- class gensbi.experimental.recipes.VAE2DPipeline(train_dataset, val_dataset, params, training_config=None)[source]#
Bases:
AbstractVAEPipelinePipeline for training and evaluating 2D Variational Autoencoders (VAE2D) in GenSBI.
Inherits from AbstractVAEPipeline and uses the AutoEncoder2D model class.
- Parameters:
params (gensbi.experimental.models.autoencoders.AutoEncoderParams)