OCDocker.OCScore.Dimensionality package

Submodules

• OCDocker.OCScore.Dimensionality.AutoencoderOptimizer module
  • AutoencoderDataset
    • AutoencoderDataset.__getitem__()
    • AutoencoderDataset.__init__()
    • AutoencoderDataset.__len__()
  • Autoencoder
    • Autoencoder.__init__()
    • Autoencoder.forward()
    • Autoencoder.get_decoder()
    • Autoencoder.get_decoder_topology()
    • Autoencoder.get_encoder()
    • Autoencoder.get_encoder_topology()
  • AutoencoderOptimizer
    • AutoencoderOptimizer.device
    • AutoencoderOptimizer.__init__()
    • AutoencoderOptimizer.X_train
    • AutoencoderOptimizer.train_loader
    • AutoencoderOptimizer.X_test
    • AutoencoderOptimizer.test_loader
    • AutoencoderOptimizer.X_validation
    • AutoencoderOptimizer.validation_loader
    • AutoencoderOptimizer.evaluate_autoencoder()
    • AutoencoderOptimizer.objective()
    • AutoencoderOptimizer.optimize()
    • AutoencoderOptimizer.set_random_seed()
    • AutoencoderOptimizer.train_autoencoder()
• OCDocker.OCScore.Dimensionality.GeneticAlgorithm module
  • GeneticAlgorithm
    • GeneticAlgorithm.__init__()
    • GeneticAlgorithm.crossover()
    • GeneticAlgorithm.fitness()
    • GeneticAlgorithm.genetic_algorithm()
    • GeneticAlgorithm.initialize_population()
    • GeneticAlgorithm.mutation()
    • GeneticAlgorithm.objective()
    • GeneticAlgorithm.optimize()
    • GeneticAlgorithm.tournament_selection()
• OCDocker.OCScore.Dimensionality.PCA module
  • run_pca()
• OCDocker.OCScore.Dimensionality.future package
  • Submodules
    • OCDocker.OCScore.Dimensionality.future.AETrainer module
      • EarlyStopping
      • AETrainer
    • OCDocker.OCScore.Dimensionality.future.Autoencoder module
      • ForwardOutput
      • MLP
      • EncoderModule
      • Autoencoder
    • OCDocker.OCScore.Dimensionality.future.AutoencoderOptimizer module
      • AutoencoderOptimizer
    • OCDocker.OCScore.Dimensionality.future.datasets module
      • AutoencoderDataset
    • OCDocker.OCScore.Dimensionality.future.losses module
      • contractive_penalty()
      • energy_loss()
      • kl_divergence()
      • reconstruction_loss()
    • OCDocker.OCScore.Dimensionality.future.utils module
      • apply_noise()
      • embedding_stats()
      • ramp_weight()
      • spearman_corr()
  • Module contents
    • Modules

Module contents

Dimensionality reduction utilities for OCScore.

Usage:

import OCDocker.OCScore.Dimensionality as ocdim

Modules

• AutoencoderOptimizer: Autoencoder training utilities.

• GeneticAlgorithm: Genetic algorithm feature selection utilities.

• PCA: Principal Component Analysis helpers.

• future: Experimental dimensionality utilities.