Search Results for "machine"

Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems, with baselines that cover both deterministic and probabilistic approaches. ...

To implement the State Machine model of behavior with chain of command design pattern. Commands and created out of Actions of a State Model {ENTRY, INPUT, TRANSACTION, EXIT} and can be exectued independently or bundled together to form a chain.