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@sfc-gh-kdama sfc-gh-kdama released this 14 Oct 01:44
· 28 commits to main since this release
1.0.10
9130a0b
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Learn about vigilant mode.

1.0.10

Behavior Changes

  • Model Development: precision_score, recall_score, f1_score, fbeta_score, precision_recall_fscore_support,
    mean_absolute_error, mean_squared_error, and mean_absolute_percentage_error metric calculations are now distributed.
  • Model Registry: deploy will now return Deployment for deployment information.

New Features

  • Model Registry: When the model signature is auto-inferred, it will be printed to the log for reference.
  • Model Registry: For SPCS deployment, Deployment details will contains image_name, service_spec and service_function_sql.

Bug Fixes

  • Model Development: Fix an issue that leading to UTF-8 decoding errors when using modeling modules on Windows.
  • Model Development: Fix an issue that alias definitions cause SnowparkSQLUnexpectedAliasException in inference.
  • Model Registry: Fix an issue that signature inference could be incorrect when using Snowpark DataFrame as sample input.
  • Model Registry: Fix too strict data type validation when predicting. Now, for example, if you have a INT8
    type feature in the signature, if providing a INT64 dataframe but all values are within the range, it would not fail.
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