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)

v1.1.1

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)

v1.1.0

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)

v1.0.1

Bug Fixes

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

v1.0.0

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)

v0.9.0

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)

v0.8.0

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)