chore(deps): update dependency tensorflow-recommenders to v0.7.3

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
tensorflow-recommenders	0.7.2 -> 0.7.3

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Release Notes

tensorflow/recommenders (tensorflow-recommenders)

v0.7.3

Compare Source

Changed

• The Retrieval task now accepts a list of factorized metrics instead of a
  single optional metric.

Added

• tfrs.experimental.optimizers.ClippyAdagrad: a new optimizer based on
  tf.keras.optimizers.Adagrad that is able to improve training stability.
• tfrs.metrics.FactorizedTopK now accepts sample weights which are used to
  compute weighted top k metrics.

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⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

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The artifact failure details are included below:

File name: poetry.lock

Updating dependencies
Resolving dependencies...

Creating virtualenv ml-training-Fgmjscdt-py3.12 in /home/ubuntu/.cache/pypoetry/virtualenvs

Package 'tensorflow-macos' is listed as a dependency of itself.