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API Reference
Get logic explanations from the neural model
Logic explanation metrics
Utils
Logic layers
Loss function to regularize the neural model
APIs for concepts
Logic explainer networks
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Apache License
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pytorch_explain
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Index
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Index
B
|
C
|
E
|
F
|
L
|
M
|
R
|
T
|
V
B
BaseExplainer (class in torch_explain.models.explainer)
C
complexity() (in module torch_explain.logic.metrics)
concept_consistency() (in module torch_explain.logic.metrics)
Conceptizator (class in torch_explain.nn.concepts)
configure_optimizers() (torch_explain.models.explainer.BaseExplainer method)
E
entropy_logic_loss() (in module torch_explain.nn.functional.loss)
EntropyLinear (class in torch_explain.nn.logic)
explain_class() (in module torch_explain.logic.nn)
Explainer (class in torch_explain.models.explainer)
extra_repr() (torch_explain.nn.concepts.Conceptizator method)
(torch_explain.nn.logic.EntropyLinear method)
F
formula_consistency() (in module torch_explain.logic.metrics)
forward() (torch_explain.models.explainer.BaseExplainer method)
(torch_explain.nn.concepts.Conceptizator method)
(torch_explain.nn.logic.EntropyLinear method)
L
l1_loss() (in module torch_explain.nn.functional.loss)
M
module
torch_explain.logic.metrics
torch_explain.logic.nn
torch_explain.logic.utils
torch_explain.models.explainer
torch_explain.nn.concepts
torch_explain.nn.functional.loss
torch_explain.nn.logic
R
replace_names() (in module torch_explain.logic.utils)
T
test_explanation() (in module torch_explain.logic.metrics)
test_step() (torch_explain.models.explainer.BaseExplainer method)
torch_explain.logic.metrics
module
torch_explain.logic.nn
module
torch_explain.logic.utils
module
torch_explain.models.explainer
module
torch_explain.nn.concepts
module
torch_explain.nn.functional.loss
module
torch_explain.nn.logic
module
training_step() (torch_explain.models.explainer.BaseExplainer method)
V
validation_step() (torch_explain.models.explainer.BaseExplainer method)
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