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Changelog

1.12.1 (2022-04-20)

Features

Bug Fixes

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

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 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

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

Bug Fixes

  • add parameters_value in PipelineJob for schema > 2.0.0 (#817) (900a449)
  • exclude support for python 3.10 (#831) (0301a1d)

Miscellaneous Chores

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

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

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

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

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

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

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

Miscellaneous Chores

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

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

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

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

0.5.0 (2021-02-17)

Features

Bug Fixes

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

Documentation

0.3.1 (2020-11-13)

Features

0.3.0 (2020-11-05)

Features

Bug Fixes