This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
google-cloud-aiplatform	==1.4.2 -> ==1.7.0
google-cloud-aiplatform	==1.1.1 -> ==1.7.0
google-cloud-aiplatform	==1.3.0 -> ==1.7.0

Release Notes

v1.7.0

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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)

1.6.2 (2021-11-01)

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)

1.6.1 (2021-10-25)

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)

v1.6.2

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v1.6.1

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v1.6.0

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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

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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)

1.4.3 (2021-09-17)

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)

1.4.2 (2021-09-10)

Features

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

1.4.1 (2021-09-07)

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)

v1.4.3

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