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Utilities for evaluating autoregressive generated trajectories over MEDS datasets, including temporal AUC computation and zero-shot ACES task labeling.
pip install meds-trajectory-evaluation
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
~=0.4.1>=0.7.3~=1.3.2<0.7,>=0.6.7>=0.1.1MEDS-trajectory-evaluation publishes 1 wheel and 1 source archive for version 0.0.6. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .