Releases
v2.10.0
Improved the progress bar to use the percentage completed of workflow request instead of hardcoded steps.
Used the service default for WEB_CONCURRENCY
for model deployment.
Fixed the bug with zipping the model artifacts directory when TMPRDIR
is provided.
Improved the watch()
method for model deployment to keep streaming logs when the deployment is finished.
Changed the default log type of watch to both access logs and predict logs.
Changed the target directory to artifact_dir
instead of temp directory when saving the model artifacts.
Fixed the mount file system pre-check to check for duplicate dest
.
Fixed duplicate logs in the model deployment consolidated logs.
Added support for the optional downloading of artifacts in GenericModel
using a download_artifact()
method.
Set the Data Science service endpoint through the environment variable in OCIDataScienceMixin
.
Made reloading the model to environment as optional at the time of invoking GenericModel.from_id()
.
Mandated the Python version in GenericModel.prepare()
when it can't be resolved.
Added a print out of the model deployment OCID in the notebook cell when deploy()
is called.
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