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)

v1.4.0

Features

• add filter and timestamp splits (#627) (1a13577)
• add labels to all resource creation apis (#601) (4e7666a)
• add PipelineJob.list (a58ea82)
• add support for export_evaluated_data_items_config in AutoMLTab… (#583) (2a6b0a3)
• add util functions to get URLs for Tensorboard web app. (#635) (8d88c00)
• Add wait_for_resource_creation to BatchPredictionJob and unblock async creation when model is pending creation. (#660) (db580ad)
• Added the VertexAiResourceNoun.to_dict() method (#588) (b478075)
• expose base_output_dir for custom job (#586) (2f138d1)
• expose boot disk type and size for CustomTrainingJob, CustomPythonPackageTrainingJob, and CustomContainerTrainingJob (#602) (355ea24)
• split GAPIC samples by service (#599) (5f15b4f)

Bug Fixes

• Fixed bug in TabularDataset.column_names (#590) (0fbcd59)
• pipeline none values (#649) (2f89343)
• Populate service_account and network in PipelineJob instead of pipeline_spec (#658) (8fde2ce)
• re-remove extra TB dependencies introduced due to merge conflict (#593) (433b94a)
• Update BatchPredictionJob.iter_outputs() and BQ docstrings (#631) (28f32fd)

v1.3.0

Features

• add get method for PipelineJob (#561) (fe5e6e4)
• add Samples section to CONTRIBUTING.rst (#558) (d35c466)
• add tensorboard resource management (#539) (6f8d3d1)
• add tf1 metadata builder (#526) (918998c)
• add wait for creation and more informative exception when properties are not available (#566) (e346117)
• Adds a new API method FindMostStableBuild (6a99b12)
• Adds attribution_score_drift_threshold field (6a99b12)
• Adds attribution_score_skew_thresholds field (6a99b12)
• Adds BigQuery output table field to batch prediction job output config (6a99b12)
• Adds CustomJob.enable_web_access field (6a99b12)
• Adds CustomJob.web_access_uris field (6a99b12)
• Adds Endpoint.network, Endpoint.private_endpoints fields and PrivateEndpoints message (6a99b12)
• Adds Execution.State constants: CACHED and CANCELLED (6a99b12)
• Adds Feature Store features (6a99b12)
• Adds fields to Study message (6a99b12)
• Adds IndexEndpoint.private_ip_ranges field (6a99b12)
• Adds IndexEndpointService.deployed_index_id field (6a99b12)
• Adds MetadataService.DeleteArtifact and DeleteExecution methods (6a99b12)
• Adds ModelMonitoringObjectConfig.explanation_config field (6a99b12)
• Adds ModelMonitoringObjectConfig.ExplanationConfig message field (6a99b12)
• column specs for tabular transformation (#466) (71d0bd4)
• enable_caching in PipelineJob to compile time settings (#557) (c9da662)
• Removes breaking change from v1 version of AI Platform protos (6a99b12)

Bug Fixes

• change default replica count to 1 for custom training job classes (#579) (c24251f)
• create pipeline job with user-specified job id (#567) (df68ec3)
• deps: pin 'google-{api,cloud}-core', 'google-auth' to allow 2.x versions (#556) (5d79795)
• enable self signed jwt for grpc (#570) (6a99b12)

Documentation

• fix spelling (#565) (fe5c702)

v1.2.0

Features

• Add additional_experiments field to AutoMlTablesInputs (#540) (96ee726)
• add always_use_jwt_access (#498) (6df4866)
• add explain get_metadata function for tf2. (#507) (f6f9a97)
• Add structure for XAI explain (from XAI SDK) (#502) (cb9ef11)
• Add two new ModelType constants for Video Action Recognition training jobs (96ee726)
• Adds AcceleratorType.NVIDIA_TESLA_A100 constant (f3a3d03)
• Adds additional_experiments field to AutoMlForecastingInputs (8077b3d)
• Adds additional_experiments field to AutoMlTablesInputs (#544) (8077b3d)
• Adds AutoscalingMetricSpec message (f3a3d03)
• Adds BigQuery output table field to batch prediction job output config (f3a3d03)
• Adds fields to Study message (f3a3d03)
• Adds JobState.JOB_STATE_EXPIRED constant (f3a3d03)
• Adds PipelineService methods for Create, Get, List, Delete, Cancel (f3a3d03)
• Adds two new ModelType constants for Video Action Recognition training jobs (8077b3d)
• Removes AcceleratorType.TPU_V2 and TPU_V3 constants (#543) (f3a3d03)

Bug Fixes

• Handle nested fields from BigQuery source when getting default column_names (#522) (3fc1d44)
• log pipeline completion and raise pipeline failures (#523) (2508fe9)
• making the uploader depend on tensorflow-proper (#499) (b95e040)
• Set prediction client when listing Endpoints (#512) (95639ee)