PG-SUI

Contents:

  • About PG-SUI
  • Installation
  • PG-SUI Tutorial
  • Simulated Missingness and Evaluation
  • Config Reference
  • PG-SUI Desktop GUI
  • Unsupervised Imputers
  • ImputeAutoencoder
  • ImputeVAE
  • ImputeNLPCA
  • ImputeUBP
  • Optuna Hyperparameter Tuning
  • Deterministic (non-Machine Learning) Imputers
  • Supervised Imputers
  • Imputation Methods Implemented in PG-SUI
  • Tutorial: Implementing New Imputation Models
  • pgsui
  • Changelog
PG-SUI
  • Overview: module code

All modules for which code is available

  • pgsui.data_processing.config
  • pgsui.data_processing.containers
  • pgsui.data_processing.transformers
  • pgsui.impute.deterministic.imputers.mode
  • pgsui.impute.deterministic.imputers.ref_allele
  • pgsui.impute.supervised.imputers.hist_gradient_boosting
  • pgsui.impute.supervised.imputers.random_forest
  • pgsui.impute.unsupervised.callbacks
  • pgsui.impute.unsupervised.imputers.autoencoder
  • pgsui.impute.unsupervised.imputers.nlpca
  • pgsui.impute.unsupervised.imputers.ubp
  • pgsui.impute.unsupervised.imputers.vae
  • pgsui.impute.unsupervised.models.autoencoder_model
  • pgsui.impute.unsupervised.models.nlpca_model
  • pgsui.impute.unsupervised.models.ubp_model
  • pgsui.impute.unsupervised.models.vae_model
  • pgsui.utils.misc
  • pgsui.utils.plotting
  • pgsui.utils.scorers

© Copyright 2021, Bradley T. Martin and Tyler K. Chafin.

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