alan-turing-institute / ARC-SPICE

Sample Level, Pipeline Introduced Cumulative Errors (SPICE). Investigating methods for generalisable measurement of cumulative errors in multi-model (and multi-modal) ML pipelines.
MIT License
0 stars 0 forks source link

Inference Pipeline for Baskerville #16

Open J-Dymond opened 1 week ago

J-Dymond commented 1 week ago

Pipeline to set up inference infrastructure on baskerville. This will be used to test calibration between our uncertainty methods and error measures.