1.0.12

1.0.12

Bug Fixes

• Model Registry: Fix regression issue that container logging is not shown during model deployment to SPCS.
• Model Development: Enhance the column capacity of OrdinalEncoder.
• Model Registry: Fix unbound `batch_size`` error when deploying a model other than Hugging Face Pipeline
  and LLM with GPU on SPCS.

Behavior Changes

• Model Registry: Raise early error when deploying to SPCS with db/schema that starts with underscore.
• Model Registry: conda-forge channel is now automatically added to channel lists when deploying to SPCS.
• Model Registry: relax_version will not strip all version specifier, instead it will relax ==x.y.z specifier to
  >=x.y,<(x+1).
• Model Registry: Python with different patchlevel but the same major and minor will not result a warning when loading
  the model via Model Registry and would be considered to use when deploying to SPCS.
• Model Registry: When logging a snowflake.ml.model.models.huggingface_pipeline.HuggingFacePipelineModel object,
  versions of local installed libraries won't be picked as dependencies of models, instead it will pick up some pre-
  defined dependencies to improve user experience.

New Features

• Model Registry: Enable best-effort SPCS job/service log streaming when logging level is set to INFO.