Pyvespa

* Remove `parse_labeled_data`. Used now only on the `learntorank` library for evaluation and data collection. (https://github.com/vespa-engine/pyvespa/pull/384)
* Moved `vespa.experimental.ranking` to `learntorank.ranking`. (https://github.com/vespa-engine/pyvespa/pull/386)
* Fixed CI pipeline by temporarily downgrading torch version from 1.13 to 1.12. (https://github.com/vespa-engine/pyvespa/pull/387)
* Moved `vespa.ml` to `learntorank.ml`. (https://github.com/vespa-engine/pyvespa/pull/388)
* Moved bits of ML code that were mixed in `vespa.package` to `learntorank.ml`. (https://github.com/vespa-engine/pyvespa/pull/390)
* Removed unused serialization code from pyvespa. (https://github.com/vespa-engine/pyvespa/pull/391)

* Move code that depended on the `learntorank.query` module and remove the `learntorank` library dependency (https://github.com/vespa-engine/pyvespa/pull/382).
* `app.query` and `app.query_batch` will now only accept YQL via the `body` parameter (lots of tests to rewrite and move to learntorank)
* Moved `app.collect_vespa_features` and `app.store_vespa_features` features to learntorank
* Removed `gallery` module from `pyvespa`

Remove query module from pyvespa. Users should use the query module from the [learntorank library](https://github.com/vespa-engine/learntorank) instead. (https://github.com/vespa-engine/pyvespa/pull/381)

Deprecate query module. They are now moved to the [learntorank library](https://github.com/vespa-engine/learntorank). (https://github.com/vespa-engine/pyvespa/pull/380)

* Remove evaluation code from `pyvespa`. Users should use the `evaluation` module from the [learntorank library](https://github.com/vespa-engine/learntorank) instead. (https://github.com/vespa-engine/pyvespa/pull/377)

* Update Vespa syntax behind pyvespa code (https://github.com/vespa-engine/pyvespa/pull/371)
* Fix TensorFlow ONNX use case (https://github.com/vespa-engine/pyvespa/pull/372)
* Deprecate evaluation module and methods. They are now moved to the [learntorank library](https://github.com/vespa-engine/learntorank). (https://github.com/vespa-engine/pyvespa/pull/375)