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)

v0.7.1

Bug Fixes

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

v0.7.0

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)

v0.6.0

Features

• add Vizier service (#266) (e5c1b1a)

Bug Fixes

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

v0.5.1

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)