# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"compute_conditional_entropy": "01_batchbald.ipynb",
         "compute_entropy": "01_batchbald.ipynb",
         "compute_conditional_entropy_from_logits": "01_batchbald.ipynb",
         "compute_entropy_from_logits": "01_batchbald.ipynb",
         "CandidateBatch": "01_batchbald.ipynb",
         "get_batchbald_batch": "01_batchbald.ipynb",
         "get_bald_batch": "01_batchbald.ipynb",
         "JointEntropy": "02_joint_entropy_computation.ipynb",
         "ExactJointEntropy": "02_joint_entropy_computation.ipynb",
         "batch_multi_choices": "02_joint_entropy_computation.ipynb",
         "gather_expand": "02_joint_entropy_computation.ipynb",
         "gather_expand.DEBUG_CHECKS": "02_joint_entropy_computation.ipynb",
         "SampledJointEntropy": "02_joint_entropy_computation.ipynb",
         "DynamicJointEntropy": "02_joint_entropy_computation.ipynb",
         "BayesianModule": "03_consistent_mc_dropout.ipynb",
         "ConsistentMCDropout": "03_consistent_mc_dropout.ipynb",
         "ConsistentMCDropout2d": "03_consistent_mc_dropout.ipynb",
         "ActiveLearningData": "04_active_learning.ipynb",
         "get_balanced_sample_indices": "04_active_learning.ipynb",
         "get_subset_base_indices": "04_active_learning.ipynb",
         "get_base_indices": "04_active_learning.ipynb",
         "RandomFixedLengthSampler": "04_active_learning.ipynb",
         "TransformedDataset": "05_repeated_mnist.ipynb",
         "create_repeated_MNIST_dataset": "05_repeated_mnist.ipynb",
         "create_MNIST_dataset": "05_repeated_mnist.ipynb",
         "get_targets": "05_repeated_mnist.ipynb"}

modules = ["batchbald.py",
           "joint_entropy.py",
           "consistent_mc_dropout.py",
           "active_learning.py",
           "repeated_mnist.py"]

doc_url = "https://blackhc.github.io/batchbald_redux/"

git_url = "https://github.com/blackhc/batchbald_redux/tree/master/"

def custom_doc_links(name): return None
