Changelog

1.7.1 (2021-11-16)

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 )

1.7.0 (2021-11-06)

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 )

1.6.0 (2021-10-12)

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 )

1.5.0 (2021-09-30)

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 )

1.4.0 (2021-08-30)

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 )

1.3.0 (2021-07-30)

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 )

1.2.0 (2021-07-14)

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 )

1.1.1 (2021-06-22)

Features

• add cancel method to pipeline client ( #488 ) ( 3b19fff )

Bug Fixes

• check if training_task_metadata is populated before logging backingCustomJob ( #494 ) ( 2e627f8 )

Documentation

• omit mention of Python 2.7 in ‘CONTRIBUTING.rst’ ( #1127 ) ( #489 ) ( cbc47f8 )

Miscellaneous Chores

• release 1.1.1 ( 1a38ce2 )

1.1.0 (2021-06-17)

Features

• add aiplatform API Vizier service ( fdc968f )

• add featurestore, index, metadata, monitoring, pipeline, and tensorboard services to aiplatform v1beta1 ( fdc968f )

• add invalid_row_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata ( fdc968f )

• add pipeline client init and run to vertex AI ( 1f1226f )

• add tensorboard support for CustomTrainingJob, CustomContainerTrainingJob, CustomPythonPackageTrainingJob ( #462 ) ( 8cfd611 )

• adds enhanced protos for time series forecasting ( fdc968f )

• adds enhanced protos for time series forecasting ( #374 ) ( fdc968f )

• allow the prediction endpoint to be overridden ( #461 ) ( c2cf612 )

• AutoMlImageSegmentationInputs.ModelType adds MOBILE_TF_LOW_LATENCY constant ( fdc968f )

• AutoMlVideoClassificationInputs.ModelType adds MOBILE_JETSON_VERSATILE_1 constant ( fdc968f )

• Expose additional attributes into Vertex SDK to close gap with GAPIC ( #477 ) ( 572a27c )

• ImageSegmentationPredictionResult.category_mask field changed to string data type ( fdc968f )

• remove unsupported accelerator types ( fdc968f )

• removes forecasting (time_series_forecasting proto) from public v1beta1 protos ( fdc968f )

• removes unused protos from schema/ folders: schema/io_format.proto, schema/saved_query_metadata.proto ( fdc968f )

• support additional_experiments for AutoML Tables and AutoML Forecasting ( #428 ) ( b4211f2 )

• support self-signed JWT flow for service accounts ( fdc968f )

Bug Fixes

• add async client to %name_%version/init.py ( fdc968f )

• add target_column docstring ( #473 ) ( c0543cd )

• configuring timeouts for aiplatform v1 methods ( fdc968f )

• Enable MetadataStore to use credentials when aiplatfrom.init passed experiment and credentials. ( #460 ) ( e7bf0d8 )

• exclude docs and tests from package ( #481 ) ( b209904 )

• pass credentials to BQ and GCS clients ( #469 ) ( 481d172 )

• remove display_name from FeatureStore ( fdc968f )

• Remove URI attribute from Endpoint sample ( #478 ) ( e3cbdd8 )

Documentation

• changes product name to Vertex AI ( fdc968f )

• correct link to fieldmask ( fdc968f )

• removes tinyurl links ( fdc968f )

1.0.1 (2021-05-21)

Bug Fixes

• use resource name location when passed full resource name ( #421 ) ( f40f322 )

1.0.0 (2021-05-19)

Features

• add custom and hp tuning ( #388 ) ( aab9e58 )

• add tensorboard support to custom job and hyperparameter tuning job ( #404 ) ( fa9bc39 )

Bug Fixes

• tb-gcp-uploader to show flags in “–help” correctly ( #409 ) ( 9f603dd )

Miscellaneous Chores

• release 1.0.0 ( #407 ) ( a2d7b68 )

0.9.0 (2021-05-17)

Features

• Add AutoML vision, Custom training job, and generic prediction samples ( #300 ) ( cc1a708 )

• Add VPC Peering support to CustomTrainingJob classes ( #378 ) ( 56273f7 )

• AutoML Forecasting, Metadata Experiment Tracking, Tensorboard uploader ( e94c9db )

Bug Fixes

• deps:add packaging requirement ( #392 ) ( 47c1530 )

• enable aiplatform unit tests ( dcc459d )

• rollback six to 1.15 ( #391 ) ( 066624b )

0.8.0 (2021-05-11)

Features

• Add export model ( #353 ) ( 12c5be4 )

• add mbsdk video dataset samples ( #307 ) ( 24d6920 )

• Add service account support to Custom Training and Model deployment ( #342 ) ( b4b1b12 )

• add services to aiplatform_v1beta1 ( #367 ) ( beb4032 )

• Added create_training_pipeline_custom_job_sample and create_training_pipeline_custom_training_managed_dataset_sample and fixed create_training_pipeline_image_classification_sample ( #343 ) ( 1c6b998 )

• Added create_training_pipeline_custom_package_job_sample and create_training_pipeline_custom_container_job_sample and reworked create_training_pipeline_custom_job_sample ( #351 ) ( 7abf8ef )

• Added default AutoMLTabularTrainingJob column transformations ( #357 ) ( 4fce8c4 )

• Added deploy_model_with_dedicated_resources_sample, deploy_model_with_automatic_resources_sample, upload_model and get_model samples ( #337 ) ( ef4f6f8 )

• Added explain tabular samples ( #348 ) ( c95d1ce )

• aiplatform:Add support for setting User agent header ( #364 ) ( d50d26d )

• expose env var in cust training class run func args ( #366 ) ( 7ae28b8 )

• MBSDK Tabular samples ( #338 ) ( 4241738 )

• update featurestore ( #377 ) ( bc17163 )

Bug Fixes

• Add all supported uCAIP GA regions ( #350 ) ( 5e14c59 )

• aiplatform:Fix doc formatting ( #359 ) ( 857f63d )

• Bump google-cloud-storage min version to 1.32.0 ( #371 ) ( 6fda925 )

• default model_display_name to _CustomTrainingJob.display_name when model_serving_container_image_uri is provided ( #324 ) ( a5fa7a2 )

• env formatiing ( #379 ) ( 6bc4c61 )

• remove Optional type hint on deploy ( #345 ) ( 79b0ab1 )

0.7.1 (2021-04-14)

Bug Fixes

• fix list failing without order_by and local sorting ( #320 ) ( 06e99db )

0.7.0 (2021-04-14)

Features

• Add Custom Container Prediction support, move to single API endpoint ( #277 ) ( ca7f6d6 )

• Add initial Model Builder SDK samples ( #265 ) ( 1230dc6 )

• Add list() method to all resource nouns ( #294 ) ( 3ec9386 )

• add support for multiple client versions, change aiplatform from compat.V1BETA1 to compat.V1 ( #290 ) ( 89e3212 )

• Make aiplatform.Dataset private ( #296 ) ( 1f0d5f3 )

• parse project location when passed full resource name to get apis ( #297 ) ( 674227d )

Bug Fixes

• add quotes to logged snippet ( 0ecd0a8 )

• make logging more informative during training ( #310 ) ( 9a4d991 )

• remove TPU from accelerator test cases ( 57f4fcf )

0.6.0 (2021-03-22)

Features

• add Vizier service ( #266 ) ( e5c1b1a )

Bug Fixes

• skip create data labeling job sample tests ( #254 ) ( 116a29b )

0.5.1 (2021-03-01)

Bug Fixes

• fix create data labeling job samples tests ( #244 ) ( 3c440de )

• fix predict sample tests for proto-plus==1.14.2 ( #250 ) ( b1c9d88 )

• fix update export model sample, and add sample test ( #239 ) ( 20b8859 )

Documentation

• update index.rst to include v1 ( #246 ) ( 82193ef )

0.5.0 (2021-02-17)

Features

• exposes v1 enhanced types and adds tests ( #226 ) ( 42b587d )

• LRO metadata ( #204 ) ( 2863dc0 )

• moves manual enhanced lib edits outside of generated files ( #198 ) ( a04a561 )

• updates python-aiplatform to v1 ( #212 ) ( efc00ed )

Bug Fixes

• correct text sentiment analysis sample ( #222 ) ( 0befde3 )

• deps:remove optional dependencies ( #187 ) ( 6589383 )

• Fix sample test ( #215 ) ( cdeb0ec )

• reduces image size for test image ( #213 ) ( 3ed0e09 )

0.4.0 (2021-01-08)

Features

• add create_batch_prediction_job samples ( #67 ) ( 96a850f )

• add create_hyperparameter_tuning_job_python_package sample ( #76 ) ( 5155dee )

• add create_training_pipeline_custom_training_managed_dataset sample ( #75 ) ( b012283 )

• add custom_job samples ( #69 ) ( fb165b3 )

• add data_labeling samples ( #78 ) ( 7daacd5 )

• add get_custom_job and get_hyperparameter_tuning_job samples ( #68 ) ( 26da7a7 )

• add schema namespace ( #140 ) ( 1cbd4a5 )

• add video action recognition samples ( #77 ) ( 4c60ad6 )

• Added tabular forecasting sample ( #156 ) ( a23857b )

• Added tabular forecasting samples ( #128 ) ( 69fc7fd )

• adds function/method enhancements, demo samples ( #122 ) ( 1a302d2 )

• adds text batch prediction samples ( #82 ) ( ad09c29 )

• initial generation of enhanced types ( #102 ) ( 5ddbf16 )

• update create_training_pipeline samples ( #142 ) ( 624a08d )

• xai samples ( #83 ) ( 5cf3859 )

Bug Fixes

• blacken on library, test files ( #135 ) ( 53cdbab )

• predict image samples params ( #150 ) ( 7983b44 )

Documentation

• update readme ( #81 ) ( 19dc31a )

0.3.1 (2020-11-13)

Features

• add samples ( #56 ) ( 53cc5f5 )

0.3.0 (2020-11-05)

Features

• generate v1beta1 ( e80a4fc )

• python-aiplatform beta library ( #39 ) ( 81366dc )

• regenerate v1beta1 ( #4 ) ( 4ddc426 )

Bug Fixes

• re-add py sessions to noxfile ( #22 ) ( 3c713d5 )