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Release History

1.6.0 (Unreleased)

Features Added

  • Added experimental scatter gather node to DSL package. This node has a unique mldesigner dependency.
  • Added support to make JobService and ServiceInstance objects serializable when printed

Bugs Fixed

  • Fixed issue where show_progress=False was not being respected for uploads when set via MLClient
  • Fixed issue of spark input/output mode validation doesn't take effect because of wrong type assertion
  • Fixed the bug when setting node.limits.timeout to a pipeline input.

Other Changes

1.5.0 (2023-03-20)

Features Added

  • Added support for tags on Compute Resources.
  • Added support for promoting data asset from a workspace to a registry
  • Added support for registering named asset from job output or node output by specifying name and version settings.
  • Added support for data binding on outputs inside dynamic arguments for dsl pipeline
  • Added support for serverless compute in pipeline, command, automl and sweep job
  • Added support for job_tier and priority in standalone job
  • Added support for passing locations via command function and set it to JobResourceConfiguration.locations
  • Added support for modifying SSH key values after creation on Compute Resources.
  • Added WorkspaceConnection types s3, snowflake, azure_sql_db, azure_synapse_analytics, azure_my_sql_db, azure_postgres_db
  • Added WorkspaceConnection auth type access_key for s3
  • Added DataImport class and DataOperations.import_data.
  • Added DataOperations.list_materialization_status - list status of data import jobs that create asset versions via asset name.

Bugs Fixed

  • Fix experiment name wrongly set to 'Default' when schedule existing job.
  • Error message improvement when a local path fails to match with data asset type.
  • Error message improvement when an asset does not exist in a registry
  • Fix an issue when submit spark pipeline job with referring a registered component
  • Fix an issue that prevented Job.download from downloading the output of a BatchJob

Other Changes

  • Added dependency on azure-mgmt-resource
  • Added dependency on azure-mgmt-resourcegraph
  • Added dependency on opencensus-ext-azure<2.0.0
  • Update job types to use MFE Dec preview rest objects.
  • Added classifiers for Python version 3.11.
  • Added warning for reserved keywords in IO names in pipeline job nodes.
  • Added telemetry logging for SDK Jupyter Notebook scenarios with opt-out option (see README.md)

1.4.0 (2023-02-07)

Features Added

  • Added dedicated classes for each type of job service and updated the docstrings. The classes added are JupyterLabJobService, SshJobService, TensorBoardJobService, VsCodeJobService with a few properties specific to the type.
  • Added Custom Applications Support to Compute Instances.
  • Update data asset list, show and create operations to support data assets in registry.

Bugs Fixed

  • Fixed an issue where the ordering of .amlignore and .gitignore files are not respected.
  • Fixed an issue that attributes with a value of False in PipelineJobSettings are not respected.
  • Fixed an issue where ignore files weren't considered during upload directory size calculations.
  • Fixed an issue where symlinks crashed upload directory size calculations.
  • Fixes a bug where enable_node_public_ip returned an improper value when fetching a Compute.

Other Changes

  • Update workspace creation to use Log Analytics-Based Application Insights when the user does not specify/bring their own App Insights.
  • Upgraded minimum azure-core version to 1.23.0.

1.3.0 (2023-01-13)

Features Added

  • Change print behavior of entity classes to show object yaml in notebooks, can be configured on in other contexts.
  • Added property to enable/disable public ip addresses to Compute Instances and AML Computes.
  • Deployment and ScheduleOperations added to public interface.

Bugs Fixed

  • Fixed issue with date-time format for utc_time_created field when creating models.
  • Added stricter behavior for ArmStr schemas when parsing 'azureml:' prefix.
  • Fixed issue where AmlComputes could only be created in a workspace's default region.
  • Improved intellisense with VS Code for fields supporting local paths and datastores.
  • Added validation for token generation with aml scope when user_identity is used in job definition aka OBO flow.
  • Fixed duplicate node name error in pipeline when two node names assigned to the same node and get renamed by node.name='xx'.
  • Resolve the cross references for MLClient, Resource and OnlineDeployment.
  • Explicit use of Optional (or a Union with None), as per PEP 484.
  • Fixed print on Command objects when job id is empty
  • Fixed issue where SasTokenConfiguration cannot be used as credential for WorkspaceConnection

Other Changes

  • Removed dependency on API version 2021-10-01 and 2022-06-01-preview to reduce side of azure-ai-ml package.

1.2.0 (2022-12-05)

Breaking Changes

  • Removed description from Registry.
  • Disable sdk telemetry logging

Features Added

  • Enable updating the CMK encryption key (workspace.encryption.keyVaultProperties.keyIdentifier) for a workspace.
  • Mark JobService class and services param to command() as experimental.
  • Added a replication_count value to the schema of SystemCreatedStorageAccount in Registry.
  • Added support for Fairfax and MoonCake cloud for the registry discovery baseurl.
  • Added support for variable args as pipeline input in DSL Pipeline.
  • Added OS Patching Parameters to Compute Instance.

Bugs Fixed

  • Update the upper bound dependencies version for tqdm, strictyaml, colorama and opencensus-ext-azure.
  • Added missing "properties" to batch deployment.
  • Retain the cases for the names of system job services (Tracking and Studio).
  • Update registry begin_delete method return type.
  • Fixed sweep job optional input cannot be empty.
  • Fixed bool test for output in download operation.
  • Fixed Compute Instance schedule not being created
  • Removed erroneous experimental warning from Compute Schedules

1.1.2 (2022-11-21)

Features Added

  • Restored idle_time_before_shutdown property for Compute Instances.
  • Deprecated idle_time_before_shutdown property in favor of idle_time_before_shutdown_minutes.

Bugs Fixed

  • Fixed idle_time_before_shutdown appearing as None for Compute Instances returned by show or list.
  • Fixed idle_time_before_shutdown_minutes preventing creation of Compute Instances when set to None.

1.1.1 (2022-11-15)

Breaking Changes

  • Renamed idle_time_before_shutdown to idle_time_before_shutdown_minutes and changed input type to int.

Bugs Fixed

  • Fixed idle_time_before_shutdown_minutes not appearing in GET calls for Compute Instances.

1.1.0 (2022-11-07)

Features Added

  • Registry list operation now accepts scope value to allow subscription-only based requests.
  • Most configuration classes from the entity package now implement the standard mapping protocol.
  • Add registry delete operation.
  • The values of JobService.job_service_type are now using the snake case. e.g jupyter_lab, ssh, tensor_board, vs_code.
  • Command function now accepts services param of type Dict[str, JobService] instead of dict.

Bugs Fixed

  • MLClient.from_config can now find the default config.json on Compute Instance when running sample notebooks.
  • Fixed job inputs not accepting datastores or job inputs.
  • Registries now assign managed tags to match registry's tags.
  • Adjust registry experimental tags and imports to avoid warning printouts for unrelated operations.
  • Make registry delete operation return an LROPoller, and change name to begin_delete.
  • Prevent registering an already existing environment that references conda file.
  • Fix ARM ID logic for registry environments (ex: Creating a registry component that references a registry environment).
  • Fix ARM ID logic for passing models and environments with ID (ex: Creating endpoint deployment for a registry model should return said model's ID immediately)

Other Changes

  • Switched compute operations to go through 2022-10-01-preview API version.

1.0.0 (2022-10-10)

  • GA release
  • Dropped support for Python 3.6. The Python versions supported for this release are 3.7-3.10.

Features Added

Breaking Changes

  • OnlineDeploymentOperations.delete has been renamed to begin_delete.
  • Datastore credentials are switched to use unified credential configuration classes.
  • UserAssignedIdentity is replaced by ManagedIdentityConfiguration
  • Endpoint and Job use unified identity classes.
  • Workspace ManagedServiceIdentity has been replaced by IdentityConfiguration.

Other Changes

  • Switched Compute operations to use Oct preview API version.
  • Updated batch deployment/endpoint invoke and list-jobs function signatures with curated BatchJob class.

0.1.0b8 (2022-10-07)

Features Added

  • Support passing JobService as argument to Command()
  • Added support for custom setup scripts on compute instances.
  • Added a show_progress parameter to MLClient for enable/disable progress bars of long running operations.
  • Support month_days in RecurrencePattern when using RecurrenceSchedule.
  • Support ml_client.schedules.list with list_view_type, default to ENABLED_ONLY.
  • Add support for model sweeping and hyperparameter tuning in AutoML NLP jobs.
  • Added ml_client.jobs.show_services() operation.

Breaking Changes

  • ComputeOperations.attach has been renamed to begin_attach.
  • Deprecated parameter path has been removed from load and dump methods.
  • JobOperations.cancel() is renamed to JobOperations.begin_cancel() and it returns LROPoller
  • Workspace.list_keys renamed to Workspace.get_keys.

Bugs Fixed

  • Fix identity passthrough job with single file code
  • MLClient.from_config can now find the default config.json on Compute Instance when running sample notebooks.

Other Changes

  • Removed declaration on Python 3.6 support
  • Added support for custom setup scripts on compute instances.
  • Updated dependencies upper bounds to be major versions.

0.1.0b7 (2022-09-22)

Features Added

  • Spark job submission.
  • Command and sweep job docker config (shmSize and dockerArgs) spec support.
  • Entity load and dump now also accept a file pointer as input.
  • Load and dump input names changed from path to 'source' and 'dest', respectively.
  • Load and dump 'path' input still works, but is deprecated and emits a warning.
  • Managed Identity Support for Compute Instance (experimental).
  • Enable using @dsl.pipeline without brackets when no additional parameters.
  • Expose Azure subscription Id and resource group name from MLClient objects.
  • Added Idle Shutdown support for Compute Instances, allowing instances to shutdown after a set period of inactivity.
  • Online Deployment Data Collection for eventhub and data storage will be supported.
  • Syntax validation on scoring scripts of Batch Deployment and Online Deployment will prevent the user from submitting bad deployments.

Breaking Changes

  • Change (begin_)create_or_update typehints to use generics.
  • Remove invalid option from create_or_update typehints.
  • Change error returned by (begin_)create_or_update invalid input to TypeError.
  • Rename set_image_model APIs for all vision tasks to set_training_parameters
  • JobOperations.download defaults to "." instead of Path.cwd()

Bugs Fixed

Other Changes

  • Show 'properties' on data assets

0.1.0b6 (2022-08-09)

Features Added

  • Support for AutoML Component
  • Added skip_validation for Job/Component create_or_update

Breaking Changes

  • Dataset removed from public interface.

Bugs Fixed

  • Fixed mismatch errors when updating scale_settings for KubernetesOnlineDeployment.
  • Removed az CLI command that was printed when deleting OnlineEndpoint

0.1.0b5 (2022-07-15)

Features Added

  • Allow Input/Output objects to be used by CommandComponent.
  • Added MoonCake cloud support.
  • Unified inputs/outputs building and validation logic in BaseNode.
  • Allow Git repo URLs to be used as code for jobs and components.
  • Updated AutoML YAML schema to use InputSchema.
  • Added end_time to job schedule.
  • MIR and pipeline job now support registry assets.

Bugs Fixed

  • Have mldesigner use argparser to parse incoming args.
  • Bumped pyjwt version to <3.0.0.
  • Reverted "upload support for symlinks".
  • Error message improvement when a YAML UnionField fails to match.
  • Reintroduced support for symlinks when uploading.
  • Hard coded registry base URL to eastus region to support preview.

0.1.0b4 (2022-06-16)

0.1.0b3 (2022-05-24)

Features Added

  • First preview.