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

Run inference on Baskerville #15

Open lannelin opened 3 weeks ago

lannelin commented 3 weeks ago

Run MultiEURLEX data through pipeline, saving output.

Requires saving of output in order to calculate error and uncertainty.