alibi.explainers.backends package

Subpackages

• alibi.explainers.backends.pytorch package
  • Submodules
    • alibi.explainers.backends.pytorch.cfrl_base module
      • PtCounterfactualRLDataset
        • PtCounterfactualRLDataset.__init__()
      • add_noise()
      • consistency_loss()
      • data_generator()
      • decode()
      • encode()
      • generate_cf()
      • get_actor()
      • get_critic()
      • get_device()
      • get_optimizer()
      • load_model()
      • save_model()
      • set_seed()
      • sparsity_loss()
      • to_numpy()
      • to_tensor()
      • update_actor_critic()
    • alibi.explainers.backends.pytorch.cfrl_tabular module
      • consistency_loss()
      • l0_ohe()
      • l1_loss()
      • sample_differentiable()
      • sparsity_loss()
• alibi.explainers.backends.tensorflow package
  • Submodules
    • alibi.explainers.backends.tensorflow.cfrl_base module
      • TfCounterfactualRLDataset
        • TfCounterfactualRLDataset.__init__()
        • TfCounterfactualRLDataset.on_epoch_end()
      • add_noise()
      • consistency_loss()
      • data_generator()
      • decode()
      • encode()
      • generate_cf()
      • get_actor()
      • get_critic()
      • get_optimizer()
      • initialize_actor_critic()
      • initialize_optimizer()
      • initialize_optimizers()
      • load_model()
      • save_model()
      • set_seed()
      • sparsity_loss()
      • to_numpy()
      • to_tensor()
      • update_actor_critic()
    • alibi.explainers.backends.tensorflow.cfrl_tabular module
      • consistency_loss()
      • l0_ohe()
      • l1_loss()
      • sample_differentiable()
      • sparsity_loss()

Submodules

• alibi.explainers.backends.cfrl_base module
  • CounterfactualRLDataset
    • CounterfactualRLDataset.predict_batches()
  • generate_empty_condition()
  • get_classification_reward()
  • get_hard_distribution()
  • identity_function()
• alibi.explainers.backends.cfrl_tabular module
  • apply_category_mapping()
  • generate_categorical_condition()
  • generate_condition()
  • generate_numerical_condition()
  • get_categorical_conditional_vector()
  • get_conditional_dim()
  • get_conditional_vector()
  • get_he_preprocessor()
  • get_numerical_conditional_vector()
  • get_statistics()
  • sample()
  • sample_categorical()
  • sample_numerical()
  • split_ohe()