ciss_vae package

Subpackages

• ciss_vae.classes package
  • Submodules
  • ciss_vae.classes.cluster_dataset module
    • ClusterDataset
      • ClusterDataset.get_activation_groups()
      • ClusterDataset.copy()
  • ciss_vae.classes.vae module
    • CISSVAE
      • CISSVAE.route_through_layers()
      • CISSVAE.encode()
      • CISSVAE.reparameterize()
      • CISSVAE.decode()
      • CISSVAE.forward()
      • CISSVAE.set_final_lr()
      • CISSVAE.get_final_lr()
      • CISSVAE.get_imputed_valdata()
      • CISSVAE.set_activation_groups()
  • Module contents
    • CISSVAE
      • CISSVAE.route_through_layers()
      • CISSVAE.encode()
      • CISSVAE.reparameterize()
      • CISSVAE.decode()
      • CISSVAE.forward()
      • CISSVAE.set_final_lr()
      • CISSVAE.get_final_lr()
      • CISSVAE.get_imputed_valdata()
      • CISSVAE.set_activation_groups()
    • ClusterDataset
      • ClusterDataset.get_activation_groups()
      • ClusterDataset.copy()
• ciss_vae.data package
  • Module contents
    • load_example_dataset()
    • load_missing_data()
    • load_complete_data()
    • load_clusters()
• ciss_vae.training package
  • Submodules
  • ciss_vae.training.autotune module
    • SearchSpace
      • SearchSpace.save()
      • SearchSpace.load()
    • autotune()
  • ciss_vae.training.run_cissvae module
    • run_cissvae()
  • ciss_vae.training.train_initial module
    • train_vae_initial()
  • ciss_vae.training.train_refit module
    • train_vae_refit()
    • impute_and_refit_loop()
  • Module contents
    • train_vae_initial()
    • train_vae_refit()
    • run_autotune()
    • SearchSpace
      • SearchSpace.save()
      • SearchSpace.load()
    • run_cissvae()
• ciss_vae.utils package
  • Submodules
  • ciss_vae.utils.clustering module
    • cluster_on_missing()
    • cluster_on_missing_prop()
  • ciss_vae.utils.helpers module
    • plot_vae_architecture()
    • get_imputed_df()
    • get_imputed()
    • compute_val_mse()
    • evaluate_imputation()
  • ciss_vae.utils.loss module
    • loss_function()
    • loss_function_nomask()
  • ciss_vae.utils.matrix module
    • MissingnessMatrix
      • MissingnessMatrix.shape
      • MissingnessMatrix.to_dataframe()
      • MissingnessMatrix.to_numpy()
      • MissingnessMatrix.head()
    • create_missingness_prop_matrix()
  • Module contents
    • loss_function()
    • plot_vae_architecture()
    • compute_val_mse()
    • get_imputed()
    • get_imputed_df()
    • create_missingness_prop_matrix()
    • cluster_on_missing()
    • cluster_on_missing_prop()

Module contents