probly

probly: Uncertainty Representation and Quantification for Machine Learning.

Modules

calibration	This Package contains calibration methods for neural networks.
conformal_prediction	Conformal prediction module imports and structure.
data_generation	Data generation utilities and classes.
datasets	Init module for dataset implementations.
evaluation	Init module for evaluation implementations.
layers	Init module for layer implementations.
lazy_types	Collection of fully-qualified type names for lazy type checking.
models	Collection of models.
predictor	Protocols and ABCs for representation wrappers.
quantification	Init module for quantification measure implementations.
representation	Uncertainty representations for models.
train	Train module for probly.
transformation	Transformations for models.
traverse_nn	Traverser utilities for neural networks.
utils	Utils module for probly library.
visualization	Visualization package.