- 1.71.1 (latest)
- 1.71.0
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
Changelog
1.18.3 (2022-11-01)
Documentation
- Add a sample for get_experiment_run_artifacts (7266352)
1.18.3 (2022-10-31)
Documentation
- Add a sample for get_experiment_run_artifacts (7266352)
1.18.2 (2022-10-20)
Bug Fixes
Added proto message conversion to MDMJob.update fields (#1718) (9e77c61)
PipelineJob should only pass bearer tokens for AR URIs (b43851c)
Documentation
Resurface googleapis.dev and prediction docs (#1724) (24f0c6f)
samples: Improve docstring of Vertex AI Python SDK Model Registry samples (#1705) (f97e90f)
1.18.1 (2022-10-10)
Bug Fixes
1.18.0 (2022-10-03)
Features
Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#1670) (9a506ee)
Add model_source_info to Model in aiplatform v1beta1 model.proto (#1691) (876fb2a)
Add support for HTTPS URI pipeline templates (#1683) (926d0b6)
Add support for V1 and V2 classification models for the V1Beta2 API (#1680) (1cda4b4)
Support complex metrics in Vertex Experiments (#1698) (ed0492e)
Bug Fixes
Fix endpoint parsing in ModelDeploymentMonitoringJob.update (#1671) (186872d)
Project/location parsing for nested resources (#1700) (9e1d796)
Documentation
1.17.1 (2022-09-15)
Features
Add enable_simple_view to PipelineJob.list() (#1614) (627fdf9)
Add eval metrics types to get_experiment_df (#1648) (944b03f)
Adding Python 3.10 support + updating google-vizier version (#1644) (f4766dc)
Miscellaneous Chores
1.17.0 (2022-09-07)
Features
Add input artifact when creating a pipeline (#1593) (2cf9fe6)
Add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1621) (0a1f4e9)
Add read_mask to ListPipelineJobsRequest in aiplatform v1 pipeline_service (#1589) (9e19a40)
Add samples for get execution input and output artifacts (#1585) (eb5a4b6)
Add support for SDK Method metrics tracking via _USER_AGENT_SDK… (#1591) (28e56ef)
Support filters in matching engine vector matching (#1608) (d591d3e)
Support model monitoring for batch prediction in Vertex SDK (#1570) (bbec998)
Update the samples of hyperparameter tuning in the public doc (#1600) (653b759)
Bug Fixes
deps: require proto-plus >= 1.22.0 (3d3e0aa)
Update Model.list_model_evaluations and get_model_evaluation to use the provided version (#1616) (8fb836b)
Documentation
samples: Add AutoML image classification sample (#923) (677b311)
samples: Add Model Registry samples to Vertex AI Python SDK (#1602) (72fd36d)
1.16.1 (2022-08-02)
Features
Add google.ClassificationMetrics, google.RegressionMetrics, and google.Forecasting Metrics (#1549) (3526b3e)
added support for conditional parameters in hyperparameter tuning (#1544) (744cc38)
support case insensitive match on search facets (#1523) (cb4d405)
Bug Fixes
Miscellaneous Chores
1.16.0 (2022-07-27)
Features
Add metadata SDK sample for delete method. (#1530) (46aa9b5)
Add metadata SDK samples for list artifact and list execution (#1514) (c0d01f1)
Add Metadata SDK support and samples for get method (#1516) (d442248)
Add samples for Metadata context list, get, and create (#1525) (d913e1d)
Change the Metadata SDK _Context class to an external class (#1519) (95b107c)
Refactor schema classes to subclass from _Resource (#1536) (93002e8)
Support custom containers in CustomJob.from_local_script (#1483) (be0b7e1)
Vertex AI Prediction Custom Prediction Routine (34bbd0a)
Bug Fixes
Fixed getting the output GCS bucket in PipelineJob.submit (#1542) (69d6c7d)
Pass the PipelineJob credentials to
create_gcs_bucket_for_pipeline_artifacts_if_it_does_not_exist
(#1537) (b53e2b5)
1.15.1 (2022-07-18)
Features
add get_associated_experiment method to pipeline_jobs (#1476) (e9f2c3c)
Add sample for create artifact and execution using the Metadata SDK. (#1462) (1fc7dd9)
Add support for start_execution in MLMD SDK. (#1465) (298958f)
Added the PipelineJob.from_pipeline_func method (#1415) (6ef05de)
Bug Fixes
Miscellaneous Chores
1.15.0 (2022-06-29)
Features
add default_skew_threshold to TrainingPredictionSkewDetectionConfig in aiplatform v1beta1, v1 model_monitoring.proto (#1411) (7a8e3be)
add model_monitoring_config to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#1450) (d35df58)
add model_version_id to BatchPredictionJob in aiplatform v1 batch_prediction_job.proto (#1453) (9ef057a)
add model_version_id to UploadModelResponse in aiplatform v1 model_service.proto (#1442) (1c198f1)
Add PrivateEndpoint class and HTTP methods (#1033) (425a32f)
add support for accepting an Artifact Registry URL in pipeline_job (#1405) (e138cfd)
add support for failure_policy in PipelineJob (#1452) (d0968ea)
Improved metadata artifact and execution creation using python / SDK (#1430) (6c4374f)
Bug Fixes
Fixed docstrings for wildcards and matching engine type (#1220) (d778dee)
Removed dirs_exist_ok parameter as it’s not backwards compatible (#1170) (50d4129)
1.14.0 (2022-06-08)
Features
add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (b6bf6dc)
add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (b6bf6dc)
Add hierarchy and window configs to Vertex Forecasting training job (#1255) (8560fa8)
add holiday regions for vertex forecasting (#1253) (0036ab0)
add IAM policy to aiplatform_v1beta1.yaml (b6bf6dc)
add latent_space_source to ExplanationMetadata in aiplatform v1 explanation_metadata.proto (b6bf6dc)
add latent_space_source to ExplanationMetadata in aiplatform v1beta1 explanation_metadata.proto (b6bf6dc)
add preset configuration for example-based explanations in aiplatform v1beta1 explanation.proto (b6bf6dc)
add scaling to OnlineServingConfig in aiplatform v1 featurestore.proto (b6bf6dc)
add successful_forecast_point_count to CompletionStats in completion_stats.proto (b6bf6dc)
add template_metadata to PipelineJob in aiplatform v1 pipeline_job.proto (b6bf6dc)
Added forecasting snippets and fixed bugs with existing snippets (#1210) (4e4bff5)
Bug Fixes
change endpoint update method to return resource (#1409) (44e279b)
Changed system test to use list_models() correctly (#1397) (a3da19a)
Pinned protobuf to prevent issues with pb files. (#1398) (7a54637)
Documentation
1.13.1 (2022-05-26)
Features
add batch_size kwarg for batch prediction jobs (#1194) (50bdb01)
support autoscaling metrics when deploying models (#1197) (095717c)
Bug Fixes
Documentation
Miscellaneous Chores
1.13.0 (2022-05-09)
Features
add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1 study.proto (847ad78)
add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto (847ad78)
add JOB_STATE_UPDATING to JobState in aiplatform v1 job_state.proto (847ad78)
add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto (847ad78)
add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto (847ad78)
add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto (847ad78)
add MfsMount in aiplatform v1 machine_resources.proto (847ad78)
add MfsMount in aiplatform v1beta1 machine_resources.proto (847ad78)
add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto (847ad78)
add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto (847ad78)
add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto (847ad78)
add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto (847ad78)
add nfs_mounts to WorkPoolSpec in aiplatform v1 custom_job.proto (847ad78)
add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto (847ad78)
add Pandas DataFrame support to TabularDataset (#1185) (4fe4558)
add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto (847ad78)
add reserved_ip_ranges to CustomJobSpec in aiplatform v1 custom_job.proto (#1165) (847ad78)
add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto (847ad78)
add template_metadata to PipelineJob in aiplatform v1beta1 pipeline_job.proto (#1186) (99aca4a)
add version_id to Model in aiplatform v1beta1 model.proto (847ad78)
allow creating featurestore without online node (#1180) (3224ae3)
Allow users to specify timestamp split for vertex forecasting (#1187) (ee49e00)
rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto (847ad78)
Documentation
- fix type in docstring for map fields (847ad78)
1.12.1 (2022-04-20)
Features
Bug Fixes
Documentation
Miscellaneous Chores
1.12.0 (2022-04-07)
Features
add categorical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto (38f3711)
add categorical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1beta1 featurestore_monitoring.proto (38f3711)
add disable_monitoring to Feature in aiplatform v1 feature.proto (38f3711)
add disable_monitoring to Feature in aiplatform v1beta1 feature.proto (38f3711)
Add done method for pipeline, training, and batch prediction jobs (#1062) (f3338fc)
add import_features_analysis to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto (38f3711)
add import_features_analysis to FeaturestoreMonitoringConfig in aiplatform v1beta1 featurestore_monitoring.proto (38f3711)
add ImportModelEvaluation in aiplatform v1 model_service.proto (#1105) (ef5930c)
add monitoring_config to EntityType in aiplatform v1 entity_type.proto (#1077) (38f3711)
add monitoring_stats_anomalies to Feature in aiplatform v1 feature.proto (38f3711)
add monitoring_stats_anomalies to Feature in aiplatform v1beta1 feature.proto (38f3711)
add numerical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1 featurestore_monitoring.proto (38f3711)
add numerical_threshold_config to FeaturestoreMonitoringConfig in aiplatform v1beta1 featurestore_monitoring.proto (38f3711)
add objective to MonitoringStatsSpec in aiplatform v1 featurestore_service.proto (38f3711)
add objective to MonitoringStatsSpec in aiplatform v1beta1 featurestore_service.proto (38f3711)
add PredictRequestResponseLoggingConfig to Endpoint in aiplatform v1 endpoint.proto (#1072) (be0ccc4)
add staleness_days to SnapshotAnalysis in aiplatform v1 featurestore_monitoring.proto (38f3711)
add staleness_days to SnapshotAnalysis in aiplatform v1beta1 featurestore_monitoring.proto (38f3711)
Add timeout arguments to Endpoint.predict and Endpoint.explain (#1094) (cc59e60)
Made display_name parameter optional for most calls (#882) (400b760)
sdk: enable loading both JSON and YAML pipelines IR (#1089) (f2e70b1)
v1beta1: add
service_account
toBatchPredictionJob
inbatch_prediction_job.proto
(#1084) (b7a5177)
Bug Fixes
add resource manager utils to get project ID from project number (#1068) (f10a1d4)
add self.wait() in operations after optional_sync supported resource creation (#1083) (79aeec1)
Don’t throw exception when getting representation of unrun GCA objects (#1071) (c9ba060)
Fix import error string showing wrong pip install path (#1076) (74ffa19)
Fixed getting project ID when running on Vertex AI; Fixes #852 (#943) (876cb33)
Give aiplatform logging its own log namespace, let the user configure their own root logger (#1081) (fb78243)
Honoring the model’s supported_deployment_resources_types (#865) (db34b85)
missing reference to logged_web_access_uris (#1056) (198a1b5)
system tests failure from test_upload_and_deploy_xgboost_model (#1149) (c8422a9)
Documentation
fix CustomContainerTrainingJob example in docstring (#1101) (d2fb9db)
improve bigquery_destination_prefix docstring (#1098) (a46df64)
Include time dependency in documentation for weight, time, and target columns. (#1102) (52273c2)
samples: read, import, batch_serve, batch_create features (#1046) (80dd40d)
1.11.0 (2022-03-03)
Features
add additional_experiement flag in the tables and forecasting training job (#979) (5fe59a4)
add TPU_V2 & TPU_V3 values to AcceleratorType in aiplatform v1/v1beta1 accelerator_type.proto (#1010) (09c2e8a)
Added scheduling to CustomTrainingJob, CustomPythonPackageTrainingJob, CustomContainerTrainingJob (#970) (89078e0)
Bug Fixes
deps: allow google-cloud-storage < 3.0.0dev (#1008) (1c34154)
deps: require google-api-core>=1.31.5, >=2.3.2 (#1050) (dfbd68a)
deps: require proto-plus>=1.15.0 (dfbd68a)
enforce bq SchemaField field_type and mode using feature value_type (#1019) (095bea2)
Fix create_lit_model_from_endpoint not accepting models that don’t return a dictionary. (#1020) (b9a057d)
loosen assertions for system test featurestore (#1040) (2ba404f)
update system test_model_upload to use BUILD_SPECIFIC_GCP_PROJECT (#1043) (e7d2719)
Documentation
samples: add samples to create/delete featurestore (#980) (5ee6354)
samples: added create feature and create entity type samples and tests (#984) (d221e6b)
1.10.0 (2022-02-07)
Features
_TrainingScriptPythonPackager to support folders (#812) (3aec6a7)
add dedicated_resources to DeployedIndex in aiplatform v1beta1 index_endpoint.proto feat: add Scaling to OnlineServingConfig in aiplatform v1beta1 featurestore.proto chore: sort imports (#991) (7a7f0d4)
add dedicated_resources to DeployedIndex message in aiplatform v1 index_endpoint.proto chore: sort imports (#990) (a814923)
Add XAI SDK integration to TensorFlow models with LIT integration (#917) (ea2b5cf)
Enable europe-west6 and northamerica-northeast2 regions (0f6b670)
enable feature store batch serve to BigQuery and GCS for csv and tfrecord (#919) (c840728)
enable feature store batch serve to Pandas DataFrame; fix: read instances uri for batch serve (#983) (e0fec36)
Bug Fixes
Documentation
- samples: replace deprecated fields in create_training_pipeline_tabular_forecasting_sample.py (#981) (9ebc972)
1.9.0 (2021-12-29)
Features
add create in Featurestore, EntityType, Feature; add create_entity_type in Featurestore; add create_feature, batch_create_features in EntityType; add ingest_from_* for bq and gcs in EntityType; add and update delete with force delete nested resources (#872) (ba11c3d)
Add LIT methods for Pandas DataFrame and TensorFlow saved model. (#874) (03cf301)
Add support to create TensorboardExperiment (#909) (96ce738)
Bug Fixes
Fix timestamp proto util to default to timestamp at call time. (#933) (d72a254)
Improve handling of undeploying model without redistributing remaining traffic (#898) (8a8a4fa)
1.8.1 (2021-12-14)
Bug Fixes
add clarity to parameters per user feedback (#886) (37ee0a1)
add param for multi-label per user’s feedback (#887) (fda942f)
Important the correct constants and use v1 for tensorboard experiments (#905) (48c2bf1)
Documentation
Update references to containers and notebook samples. (#890) (67fa1f1)
Updated docstrings with exception error classes (#894) (f9aecd2)
1.8.0 (2021-12-03)
Features
Add cloud profiler to training_utils (6d5c7c4)
add enable_private_service_connect field to Endpoint feat: add id field to DeployedModel feat: add service_attachment field to PrivateEndpoints feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint feat: add method… (#878) (ca813be)
add enable_private_service_connect field to Endpoint feat: add id field to DeployedModel feat: add service_attachment field to PrivateEndpoints feat: add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint feat: add method… (#879) (47e93b2)
add featurestore module including Featurestore, EntityType, and Feature classes; add get, update, delete, list methods in all featurestore classes; add search method in Feature class (#850) (66745a6)
Add prediction container URI builder method (#805) (91dd3c0)
default to custom job display name if experiment name looks like a custom job ID (#833) (8b9376e)
updating Tensorboard related code to use v1 (#851) (b613b26)
Bug Fixes
Documentation
Added comment for evaluation_id to python examples (#860) (004bf5f)
Reverted IDs in model_service snippets test (#871) (da747b5)
Update name of BQ source parameter in samples (#859) (f11b598)
1.7.1 (2021-11-16)
Features
Bug Fixes
Miscellaneous Chores
1.7.0 (2021-11-06)
Features
Adds support for
google.protobuf.Value
pipeline parameters in theparameter_values
field (#807) (c97199d)Adds support for
google.protobuf.Value
pipeline parameters in theparameter_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)
Widen system test timeout, handle tearing down failed training pipelines (#791) (78879e2)
Miscellaneous Chores
1.6.1 (2021-10-25)
Features
Add debugging terminal support for CustomJob, HyperparameterTun… (#699) (2deb505)
Add training_utils folder and environment_variables for training (141c008)
enabling AutoML Forecasting training response to include BigQuery location of exported evaluated examples (#657) (c1c2326)
pre batch creating TensorboardRuns and TensorboardTimeSeries in one_shot mode to speed up uploading (#772) (c9f68c6)
Bug Fixes
Miscellaneous Chores
1.6.0 (2021-10-12)
Features
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)
1.5.0 (2021-09-30)
Features
Add data plane code snippets for feature store service (#713) (e3ea683)
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
1.4.3 (2021-09-17)
Features
Bug Fixes
Miscellaneous Chores
1.4.2 (2021-09-10)
Features
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 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
1.4.0 (2021-08-30)
Features
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 boot disk type and size for CustomTrainingJob, CustomPythonPackageTrainingJob, and CustomContainerTrainingJob (#602) (355ea24)
Bug Fixes
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 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)
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)
Documentation
1.2.0 (2021-07-14)
Features
Add additional_experiments field to AutoMlTablesInputs (#540) (96ee726)
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
Bug Fixes
Documentation
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)
configuring timeouts for aiplatform v1 methods (fdc968f)
Enable MetadataStore to use credentials when aiplatfrom.init passed experiment and credentials. (#460) (e7bf0d8)
remove display_name from FeatureStore (fdc968f)
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
1.0.0 (2021-05-19)
Features
Bug Fixes
Miscellaneous Chores
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
enable aiplatform unit tests (dcc459d)
0.8.0 (2021-05-11)
Features
Add service account support to Custom Training and Model deployment (#342) (b4b1b12)
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)
aiplatform: Add support for setting User agent header (#364) (d50d26d)
expose env var in cust training class run func args (#366) (7ae28b8)
Bug Fixes
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)
0.7.1 (2021-04-14)
Bug Fixes
0.7.0 (2021-04-14)
Features
Add Custom Container Prediction support, move to single API endpoint (#277) (ca7f6d6)
add support for multiple client versions, change aiplatform from compat.V1BETA1 to compat.V1 (#290) (89e3212)
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
Bug Fixes
0.5.1 (2021-03-01)
Bug Fixes
fix predict sample tests for proto-plus==1.14.2 (#250) (b1c9d88)
fix update export model sample, and add sample test (#239) (20b8859)
Documentation
0.5.0 (2021-02-17)
Features
Bug Fixes
0.4.0 (2021-01-08)
Features
add create_hyperparameter_tuning_job_python_package sample (#76) (5155dee)
add create_training_pipeline_custom_training_managed_dataset sample (#75) (b012283)
add get_custom_job and get_hyperparameter_tuning_job samples (#68) (26da7a7)
adds function/method enhancements, demo samples (#122) (1a302d2)
Bug Fixes
Documentation
0.3.1 (2020-11-13)
Features
0.3.0 (2020-11-05)
Features
generate v1beta1 (e80a4fc)