v1.8.0

Features

• Add cloud profiler to training_utils (6d5c7c4)
• add enable_private_service_connect field to Endpoint feat: add id field to DeployedModel feat: add service_attachment field to PrivateEndpoints feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint feat: add method... (#878) (ca813be)
• add enable_private_service_connect field to Endpoint feat: add id field to DeployedModel feat: add service_attachment field to PrivateEndpoints feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint feat: add method... (#879) (47e93b2)
• add featurestore module including Featurestore, EntityType, and Feature classes; add get, update, delete, list methods in all featurestore classes; add search method in Feature class (#850) (66745a6)
• Add prediction container URI builder method (#805) (91dd3c0)
• default to custom job display name if experiment name looks like a custom job ID (#833) (8b9376e)
• Support uploading local models (#779) (bffbd9d)
• Tensorboard v1 protos release (#847) (e0fc3d9)
• updating Tensorboard related code to use v1 (#851) (b613b26)
• Upgrade Tensorboard from v1beta1 to v1 (#849) (c40ec85)

Bug Fixes

• Import error for cloud_profiler (#869) (0f124e9)
• Support multiple instances in custom predict sample (#857) (8cb4839)

Documentation

• Added comment for evaluation_id to python examples (#860) (004bf5f)
• Reverted IDs in model_service snippets test (#871) (da747b5)
• Update name of BQ source parameter in samples (#859) (f11b598)

v1.7.1

Features

• Add support for new Vertex regions (#811) (8d04138)

Bug Fixes

• add parameters_value in PipelineJob for schema > 2.0.0 (#817) (900a449)
• exclude support for python 3.10 (#831) (0301a1d)

Miscellaneous Chores

• release 1.7.1 (#845) (ca04de6)

v1.7.0

Features

• Adds support for google.protobuf.Value pipeline parameters in the parameter_values field (#807) (c97199d)
• Adds support for google.protobuf.Value pipeline parameters in the parameter_values field (#808) (726b620)
• PipelineJob switch to v1 API from v1beta1 API (#750) (8db7e0c)

Bug Fixes

• Correct PipelineJob credentials description (#816) (49aaa87)
• Fixed docstrings for Dataset in AutoMLForecastingTrainingJob (760887b)

Documentation

• Fix pydocs README to be consistent with repo README (#821) (95dbd60)
• Update sample with feedback from b/191251050 (#818) (6b2d938)

v1.6.2

Features

• Add PipelineJob.submit to create PipelineJob without monitoring it's completion. (#798) (7ab05d5)
• support new protobuf value param types for Pipeline Job client (#797) (2fc05ca)

Bug Fixes

• Add retries when polling during monitoring runs (#786) (45401c0)
• use version.py for versioning (#804) (514031f)
• Widen system test timeout, handle tearing down failed training pipelines (#791) (78879e2)

Miscellaneous Chores

• release 1.6.2 (#809) (e50b049)

v1.6.1

Features

• Add debugging terminal support for CustomJob, HyperparameterTun… (#699) (2deb505)
• add support for python 3.10 (#769) (8344804)
• Add training_utils folder and environment_variables for training (141c008)
• enable reduction server (#741) (8ef0ded)
• enabling AutoML Forecasting training response to include BigQuery location of exported evaluated examples (#657) (c1c2326)
• PipelineJob: allow PipelineSpec as param (#774) (f90a1bd)
• pre batch creating TensorboardRuns and TensorboardTimeSeries in one_shot mode to speed up uploading (#772) (c9f68c6)

Bug Fixes

• cast resource labels to dict type (#783) (255edc9)
• Remove sync parameter from create_endpoint_sample (#695) (0477f5a)

Miscellaneous Chores

• release 1.6.1 (#789) (4520d35)

v1.6.0

Features

• add featurestore service to aiplatform v1 (#765) (68c88e4)
• Add one shot profile uploads to tensorboard uploader. (#704) (a83f253)
• Added column_specs, training_encryption_spec_key_name, model_encryption_spec_key_name to AutoMLForecastingTrainingJob.init and various split methods to AutoMLForecastingTrainingJob.run (#647) (7cb6976)
• Lazy load Endpoint class (#655) (c795c6f)

v1.5.0

Features

• Add data plane code snippets for feature store service (#713) (e3ea683)
• add flaky test diagnostic script (#734) (09e48de)
• add vizier service to aiplatform v1 BUILD.bazel (#731) (1a580ae)
• code snippets for feature store control plane (#709) (8e06ced)
• Updating the Tensorboard uploader to use the new batch write API so it runs more efficiently (#710) (9d1b01a)

Bug Fixes

• #677 (#728) (7f548e4)
• PipelineJob: use name as output only field (#719) (1c84464)
• use the project id from BQ dataset instead of the default project id (#717) (e87a255)

v1.4.3

Features

• PipelineJob: support dict, list, bool typed input parameters fr… (#693) (243b75c)

Bug Fixes

• Update milli node_hours for image training (#663) (64768c3)
• XAI Metadata compatibility with Model.upload (#705) (f0570cb)

Miscellaneous Chores

• release 1.4.3 (#715) (b610486)

v1.4.2

Features

• add explanation metadata get_metadata_protobuf for reuse (#672) (efb6d18)

v1.4.1

Features

• add prediction service RPC RawPredict to aiplatform_v1beta1 feat: add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData feat: add model_deployment_monitori... (#670) (b73cd94)
• add Vizier service to aiplatform v1 (#671) (179150a)
• add XAI, model monitoring, and index services to aiplatform v1 (#668) (1fbce55)
• Update tensorboard uploader to use Dispatcher for handling different event types (#651) (d20b520), closes #519

Documentation

• Add code sample for Pipelines (#684) (4f0c18e)