feat(ml): improve test coverage

[mertalev]

Description

This PR adds a bunch of tests, increasing unit test coverage from 80% to 84%, and increasing coverage with E2E tests included from 89% to 92%.

Other changes:

• Updates the E2E tests that were failing
  • In the case of the CLIP models, this was because we now normalize the embeddings from those models so they didn't match with the non-normalized embeddings
  • For facial recognition, the preprocessing is now done with NumPy so the numbers are very slightly different.
  • These tests have been updated to use allclose for comparison to avoid floating point flakiness, with an absolute tolerance of 0.00000001.
• Tests no longer hardcode /cache and respect the MACHINE_LEARNING_MODEL_CACHE env for assertions
• Update test workflow to print lines with missing coverage
• Remove dead code that either only existed for reasons that are no longer relevant, or that were never used at all and only existed for the sake of completeness

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[jrasm91]

Lgtm