OCDocker.OCScore.DNN package

Submodules

• OCDocker.OCScore.DNN.DNNOptimizer module
  • NeuralNet
    • NeuralNet.__init__()
    • NeuralNet.get_model()
    • NeuralNet.set_random_seed()
    • NeuralNet.train_model()
  • DynamicNN
    • DynamicNN.__init__()
    • DynamicNN.forward()
  • MultiBranchDynamicNN
    • MultiBranchDynamicNN.__init__()
    • MultiBranchDynamicNN.forward()
  • CustomDataset
    • CustomDataset.__getitem__()
    • CustomDataset.__init__()
    • CustomDataset.__len__()
  • MultiBranchCustomDataset
    • MultiBranchCustomDataset.__getitem__()
    • MultiBranchCustomDataset.__init__()
    • MultiBranchCustomDataset.__len__()
  • DNNOptimizer
    • DNNOptimizer.__init__()
    • DNNOptimizer.ablate()
    • DNNOptimizer.objective()
    • DNNOptimizer.objective_ablation()
    • DNNOptimizer.optimize()
    • DNNOptimizer.set_random_seed()
    • DNNOptimizer.train_test_model()
• OCDocker.OCScore.DNN.future package
  • Submodules
    • OCDocker.OCScore.DNN.future.DNNOptimizer module
      • DNNOptimizer
    • OCDocker.OCScore.DNN.future.datasets module
      • EnergyDataset
      • TargetRankingDataset
      • TargetBatchSampler
    • OCDocker.OCScore.DNN.future.losses module
      • UncertaintyWeighting
      • focal_binary_loss()
      • lambda_rank_ndcg_loss()
      • supervised_contrastive_loss()
    • OCDocker.OCScore.DNN.future.metrics module
      • compute_classification_metrics()
      • compute_group_metrics()
      • ndcg_at_k()
      • partial_auc()
      • safe_auc()
      • safe_log_loss()
      • safe_pr_auc()
    • OCDocker.OCScore.DNN.future.models module
      • MLP
      • MultiTaskModel
      • parse_encoder_params()
  • Module contents
    • Modules

Module contents

Deep Neural Network (DNN) utilities for OCScore.

Usage:

import OCDocker.OCScore.DNN as ocdnn

Modules

• DNNOptimizer: DNN training and optimization utilities.

• future: Experimental DNN utilities.