1.2.0

1.2.0

Bug Fixes

• Model Registry: Fix "XGBoost version not compiled with GPU support" error when running CPU inference against open-source
  XGBoost models deployed to SPCS.
• Model Registry: Fix model deployment to SPCS on Windows machines.

Behavior Changes

New Features

• Model Development: Introduced XGBoost external memory training feature. This feature enables training XGBoost models
  on large datasets that don't fit into memory.
• Registry: New Registry class named snowflake.ml.registry.Registry providing similar APIs as the old one but works
  with new MODEL object in Snowflake SQL. Also, we are providingsnowflake.ml.model.Model and
  snowflake.ml.model.ModelVersion to represent a model and a specific version of a model.
• Model Development: Add support for fit_predict method in AgglomerativeClustering, DBSCAN, and OPTICS classes;
• Model Development: Add support for fit_transform method in MDS, SpectralEmbedding and TSNE class.

Additional Notes

• Model Registry: The snowflake.ml.registry.model_registry.ModelRegistry has been deprecated starting from version
  1.2.0. It will stay in the Private Preview phase. For future implementations, kindly utilize
  snowflake.ml.registry.Registry, except when specifically required. The old model registry will be removed once all
  its primary functionalities are fully integrated into the new registry.