You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This commit was created on GitHub.com and signed with GitHub’s verified signature.
The key has expired.
1.0.3 (2023-07-14)
Behavior Changes
Model Registry: When predicting a model whose output is a list of NumPy ndarray, the output would not be flattened, instead, every ndarray will act as a feature(column) in the output.
New Features
Model Registry: Added support save/load/deploy PyTorch models (torch.nn.Module and torch.jit.ScriptModule).
Bug Fixes
Model Registry: Fix an issue that when database or schema name provided to create_model_registry contains special characters, the model registry cannot be created.
Model Registry: Fix an issue that get_model_description returns with additional quotes.
Model Registry: Fix incorrect error message when attempting to remove a unset tag of a model.
Model Registry: Fix a typo in the default deployment table name.
Model Registry: Snowpark dataframe for sample input or input for predict method that contains a column with Snowflake NUMBER(precision, scale) data type where scale = 0 will not lead to error, and will now correctly recognized as INT64 data type in model signature.
Model Registry: Fix an issue that prevent model logged in the system whose default encoding is not UTF-8 compatible from deploying.
Model Registry: Added earlier and better error message when any file name in the model or the file name of model itself contains characters that are unable to be encoded using ASCII. It is currently not supported to deploy such a model.