libcll

User Guide

  • Datasets
    • Custom complementary-label dataset
    • Generate complementary labels using transition matrix
    • Multiple complementary-label dataset
  • Models
    • Loading a Model
  • Strategies
    • Custom complementary-label strategy
    • Change evaluation metric

API Reference

  • API for Datasets
    • Base Dataset Module
    • Complementary-label Dataset Module
      • CLMNIST
        • CLMNIST.data
        • CLMNIST.targets
        • CLMNIST.true_targets
        • CLMNIST.num_classes
        • CLMNIST.input_dim
        • CLMNIST.build_dataset()
      • CLCIFAR10
        • CLCIFAR10.data
        • CLCIFAR10.targets
        • CLCIFAR10.true_targets
        • CLCIFAR10.num_classes
        • CLCIFAR10.input_dim
        • CLCIFAR10.build_dataset()
    • Complementary-label Dataset Utilities
  • API for Models
    • Linear
      • Linear.training
    • MLP
      • MLP.training
    • ResNet
    • DenseNet
      • DenseNet.training
  • API for Strategies
    • Base Strategy Module
      • Strategy
        • Strategy.compute_acc()
        • Strategy.compute_scel()
        • Strategy.compute_ure()
        • Strategy.configure_optimizers()
        • Strategy.forward()
        • Strategy.on_test_epoch_end()
        • Strategy.on_validation_epoch_end()
        • Strategy.test_step()
        • Strategy.training_step()
        • Strategy.validation_step()
libcll
  • Index

Index

B | C | D | F | I | L | M | N | O | R | S | T | V

B

  • build_dataset() (libcll.datasets.CLCIFAR10 class method)
    • (libcll.datasets.CLMNIST class method)

C

  • CLCIFAR10 (class in libcll.datasets)
  • CLMNIST (class in libcll.datasets)
  • compute_acc() (libcll.strategies.Strategy method)
  • compute_scel() (libcll.strategies.Strategy method)
  • compute_ure() (libcll.strategies.Strategy method)
  • configure_optimizers() (libcll.strategies.Strategy method)

D

  • data (libcll.datasets.CLCIFAR10 attribute)
    • (libcll.datasets.CLMNIST attribute)
  • DenseNet (class in libcll.models)

F

  • forward() (libcll.strategies.Strategy method)

I

  • input_dim (libcll.datasets.CLCIFAR10 attribute)
    • (libcll.datasets.CLMNIST attribute)

L

  • Linear (class in libcll.models)

M

  • MLP (class in libcll.models)

N

  • num_classes (libcll.datasets.CLCIFAR10 attribute)
    • (libcll.datasets.CLMNIST attribute)

O

  • on_test_epoch_end() (libcll.strategies.Strategy method)
  • on_validation_epoch_end() (libcll.strategies.Strategy method)

R

  • ResNet (in module libcll.models)

S

  • Strategy (class in libcll.strategies)

T

  • targets (libcll.datasets.CLCIFAR10 attribute)
    • (libcll.datasets.CLMNIST attribute)
  • test_step() (libcll.strategies.Strategy method)
  • training (libcll.models.DenseNet attribute)
    • (libcll.models.Linear attribute)
    • (libcll.models.MLP attribute)
  • training_step() (libcll.strategies.Strategy method)
  • true_targets (libcll.datasets.CLCIFAR10 attribute)
    • (libcll.datasets.CLMNIST attribute)

V

  • validation_step() (libcll.strategies.Strategy method)

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