0.34.0

• Improved error handling: #498
• Use allowed_methods in urllib3.util.Retry: #501

0.33.0

• Support for rank profile inputs: #482

Version 0.32.0

• A local Docker deployment can now open the debug port (default 5005) into the container: #399
• Field additions:
  • The match block for fields is now supported: #403
  • Support for the weight and bolding fields: #406
  • Implement Struct Field, and allow Field to use it: #413
• Schema Document Summary is added: #408
• Add support for stemming, query-command, rank, and implement Struct for Documents: #416
• ApplicationConfiguration is added: #421
• rank-profile additions #424:
  • weight
  • type-hints for eq and repr
  • rank_type
  • rank-properties
• Support for validation-overrides.xml: #426
• Throw HTTPError on failures: #466

Version 0.31.0

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

Version 0.30.0

• Move code that depended on the learntorank.query module and remove the learntorank library dependency (#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

Version 0.29.0

Remove query module from pyvespa. Users should use the query module from the learntorank library instead. (#381)

Version 0.28.0

Deprecate query module. They are now moved to the learntorank library. (#380)

Version 0.27.0

• Remove evaluation code from pyvespa. Users should use the evaluation module from the learntorank library instead. (#377)

Version 0.26.0

• Update Vespa syntax behind pyvespa code (#371)
• Fix TensorFlow ONNX use case (#372)
• Deprecate evaluation module and methods. They are now moved to the learntorank library. (#375)

Version 0.25.0

• Allow id_field to be customizable when feeding a data frame (#370). Example:

responses = app.feed_df(df=corpus_df, include_id=True, id_field="doc_id")