Changelog

1.13.1 (2022-05-26)

Features

add batch_size kwarg for batch prediction jobs (#1194) (50bdb01)
add update endpoint (#1162) (0ecfe1e)
support autoscaling metrics when deploying models (#1197) (095717c)

Bug Fixes

check in service proto file (#1174) (5fdf151)
regenerate pb2 files using grpcio-tools (#1394) (406c868)

Documentation

update aiplatform SDK arrangement for Sphinx (#1163) (e9510ea)

Miscellaneous Chores

release 1.13.1 (#1395) (df78407)

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)
Make matching engine API public (#1192) (469db6b)
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

Add endpoind_id arg to Endpoint#create (#1168) (4c21993)
add ModelEvaluation support (#1167) (10f95cd)

Bug Fixes

change default for create_request_timeout arg to None (#1175) (47791f7)

Documentation

endpoint.create => aiplatform.Endpoint.create (#1153) (1122a26)
update changelog headers (#1164) (c1e899d)
update model code snippet order in README (#1154) (404d7f1)

Miscellaneous Chores

release 1.12.1 (#1176) (f98d92e)

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 support for Vertex Tables Q1 regions (#1065) (6383d4f)
add timeout arg across SDK (#1099) (184f7f3)
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 to BatchPredictionJob in batch_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)
Update AutoML Video docstring (#987) (6002d5d)

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)
remove empty scripts kwarg in setup.py (#1014) (ef3fcc8)
show logs when TFX pipelines are submitted (#976) (c10923b)
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)
Added aiplatform.Model.update method (#952) (44e208a)
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)
enable feature store online serving (#918) (b8f5f82)
enable ingest from pd.DataFrame (#977) (9289f2d)
Open LIT with a deployed model (#963) (ea16849)

Bug Fixes

Fixed BigQuery datasets that have colon in URI (#855) (153578f)
Fixed integration test for model.upload (#975) (0ca3747)
rename teardown fixture (#1004) (fcd0096)

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)
Add support to create TensorboardRun (#912) (8df74a2)

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)
issues/192254729 (#914) (3ec620c)
issues/192254729 (#915) (0f22ff6)
use open_in_new_tab in the render method. (#926) (04618e0)

1.8.1 (2021-12-14)

Bug Fixes

add clarity to param model_name (#888) (1d81783)
add clarity to parameters per user feedback (#886) (37ee0a1)
add param for multi-label per user’s feedback (#887) (fda942f)
add support for API base path overriding (#908) (45c4086)
Important the correct constants and use v1 for tensorboard experiments (#905) (48c2bf1)
incorrect uri for IOD yaml (#889) (e108ef8)
Minor docstring and snippet fixes (#873) (578e06d)

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)
Support uploading local models (#779) (bffbd9d)
Tensorboard v1 protos release (#847) (e0fc3d9)
updating Tensorboard related code to use v1 (#851) (b613b26)
Upgrade Tensorboard from v1beta1 to v1 (#849) (c40ec85)

Bug Fixes

Import error for cloud_profiler (#869) (0f124e9)
Support multiple instances in custom predict sample (#857) (8cb4839)

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

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)