- 1.71.0 (latest)
- 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
1.70.0 (2024-10-08)
Features
Add a dynamic retrieval API (44df243)
Add enable_secure_private_service_connect in service attachment (44df243)
Add new
PscInterfaceConfig
field topipeline_job.proto
(44df243)Add psc_automation_configs to DeployIndex v1 (44df243)
Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
Add update_corpus method for vertex rag (09353cf)
Automatically end Experiment runs when Tensorboard CustomJob is complete (30cf221)
Vision Models - Add new safety filter levels to Vertex AI Image Generation API. (b1d5007)
Bug Fixes
Annotate PipelineJob and PipelineTaskRerunConfig fields as optional (44df243)
Update the docstring for LangchainAgent (f7fe2b0)
Documentation
Add sample to retrieve experiment backing tensorboard resource name (138dc1a)
GenAI - update comments in GenerationConfig property (c670eeb)
Limit comment
SupervisedTuningSpec
for 1p tuning (44df243)
1.69.0 (2024-10-01)
Features
- Add rerun method to pipeline job preview client. (29dec74)
Bug Fixes
- GenAI - Fixed from_dict methods (3090812)
1.68.0 (2024-09-24)
Features
A new field
response_logprbs
is added to message.google.cloud.aiplatform.v1.GenerationConfig
(#4410) (470933f)Add support for partial failures sink in import rag files. (8070411)
Add support for SharePoint as a ImportRagFiles source. (f89df1f)
Adding Vertex Vector Search Vector DB option for RAG corpuses to SDK (d4193f2)
Batch_predict method generally-available at TextEmbeddingModel. (73c0dae)
GenAI - Add model routing config to sdk (c0626fe)
GenAI - Add support for logprobs and response_logprobs. (7acf0f7)
Bug Fixes
Fix rag corpus creation error (d25edce)
Fix typo in eval_task docstring (86fc215)
Fix typos in evaluation example metric prompt templates. (5f4d586)
GenAI - Fixed
GenerativeModel.compute_tokens
for v1 API (4637b4c)Tensorboard - Fix error in tensorboard batch upload of nested dirs (86be328)
Documentation
1.67.1 (2024-09-18)
Bug Fixes
- Fix rag corpus creation error (6083b93)
1.67.0 (2024-09-17)
Features
Add support for partial failures sink in import rag files. (07e471e)
Adding Feature Store Vector DB option for RAG corpuses to SDK (cfc3421)
Adding Pinecone Vector DB option for RAG corpuses to SDK (f78b953)
Adding Vertex Vector Search Vector DB option for RAG corpuses to SDK (f882657)
Allow customizing pipeline caching options for model evaluation jobs. (73490b2)
GenAI - Switched the GA version of the
generative_models
classes to use the v1 service APIs instead of v1beta1 (66d84af)
Bug Fixes
GenAI - Fixed
GenerativeModel.compute_tokens
for v1 API (0de2987)Tensorboard - Fix error in tensorboard batch upload of nested dirs (ab157c8)
Documentation
- Manually add summary overview page. (0bc608a)
1.66.0 (2024-09-11)
Features
Add max_wait_duration option to custom jobs. (ee65917)
Add Ray 2.33 support to SDK Client Builder, remove deprecated protocol_version from ray client context. (708a67b)
Add support for version 2.33 for RoV Bigquery read/write, remove dead code from version 2.4 (a4b6c60)
Update Ray system tests to be compatible with new RoV 2.33 changes (8c7bf27)
Update setup.py for including Ray v2.33, restrict RoV prediction to 2.9.3 for now (71c6f3c)
Bug Fixes
Identify nested Vertex Tensorboard profile runs for uploading when standard event data is not present (0a08027)
Move region tag to include imports (6d1f7fd)
Rollback change to tensorboard uploader causing increased latency (879dbcd)
Documentation
- Update SDK Job Submission with Ray v2.33 updated comments (7fda11f)
1.65.0 (2024-09-04)
⚠ BREAKING CHANGES
- Tokenization - Deprecated
ComputeTokenResult.token_info_list
in favor ofComputeTokenResult.tokens_info
Features
Add support for system instruction and tools in tokenization. (72fcc06)
Add vector search alpha to rag retrieval for hybrid search ranking (6624ebe)
Adding Weaviate Vector DB option for RAG corpuses to SDK (9b28202)
GenAI - Added
system_instruction
andtools
support toGenerativeModel.count_tokens
(50fca69)GenAI - Added Llama3 support in GenAI batch prediction (6166152)
PrivateEndpoint.stream_raw_predict (197f333)
Support reserved_ip_ranges for VPC network in Ray on Vertex cluster (36a56b9)
Tokenization - Deprecated
ComputeTokenResult.token_info_list
in favor ofComputeTokenResult.tokens_info
(efbcb54)
Bug Fixes
Tensorboard - Fixed bug in tensorboard uploader where profile logs are not uploaded from nested run directories. (37627de)
Tokenizers - Fixed
Tokenizer.compute_tokens
(c29fa5d)
1.64.0 (2024-08-27)
Features
Endpoint - Add support for Prediction dedicated endpoint. predict/rawPredict/streamRawPredict can use dedicated DNS to access the dedicated endpoint. (3d68777)
GenAI - Added the model Distillation feature (private preview) (a0d4ff2)
Grounding - Allow initialization of
grounding.VertexAISearch
with full resource name or data store ID, project ID, and location. (f334321)Evaluation - Make Rouge class available in base level init (aed82a1)
Feature Store - Read for online store w/private service connect (7af80c6)
Ray - Support autoscaling in Ray on Vertex (961da42)
Bug Fixes
Fix error in tensorboard uploader thrown when time_series_id is None (d59a052)
Evaluation - Fix typo in prompt templates: (c8fa7a8)
Documentation
- samples: Adding code sample for vector search create streaming index (71464e7)
1.63.0 (2024-08-20)
Features
A new field
satisfies_pzs
is added to message.google.cloud.aiplatform.v1.BatchPredictionJob
(#4192) (6919037)Add advanced PDF parsing option for RAG file import (6e1dc06)
Add multithreading for custom metric computation. (2c93fc1)
Add progress bar for generating inference. (b78714f)
Add progress bar to custom metrics. (3974aec)
Add Prompt class support for configs and Prompt.generate_content wrapper (7f1e031)
GenAI - Added seed parameter to the GenerationConfig class (9f1e073)
GenAI - Added the
Candidate.avg_logprobs
property (de80695)GenAI - Released the
Prompt
feature to Public Preview (64eeab8)GenAI Evaluation: Add generic model-based
PointwiseMetric
andPairwiseMetric
classes that allow customizing metric prompt templates. AddPointwiseMetricPromptTemplate
,PairwiseMetricPromptTemplate
classes to help formulate and customize metric prompt templates. Addmetric_column_mapping
parameter toEvalTask
for metric prompt template input variable name mapping. (fd38b49)GenAI Evaluation: Open source model-based metric prompt template examples for Gemini 1.5 Pro autorater. Add
MetricPromptTemplateExamples
class to help retrieve model-based metric prompt templates. (fd38b49)GenAI Evaluation: Release GenAI Evaluation SDK GA features to
vertexai.preview
module. (fd38b49)Publish GenAI Evaluation SDK GA features to
vertexai.evaluation
module. Switch GenAI Evaluation Service client to v1 version. (45e4251)
Bug Fixes
Add support of display_name to create_cached_content in python SDK (ecc2d54)
Always upload the pickled object and dependencies tarball when creating ReasoningEngine (34ef5a3)
Remove grouding attribution (f6ece65)
Documentation
- Update Prompt docstring for batch prompting (e96b6e6)
1.62.0 (2024-08-13)
Features
Add metadata to evaluation result. (375095e)
Add Prompt class for multimodal prompt templating (1bdc235)
Add support for query method in Vertex AI Extension SDK (0008735)
Add support for reservation affinity in custom training jobs. (802609b)
Add support for strategy in custom training jobs. (a076191)
Adding spot, reservation_affinity to Vertex SDK (3e785bd)
Support api keys in initializer and create_client (7404f67)
Support creating optimized online store with private service connect (659ba3f)
Support disable Cloud logging in Ray on Vertex (accaa97)
Support PSC-Interface in Ray on Vertex (accaa97)
Bug Fixes
Added credentials, project, and location on PipelineJobSchedule init (281c171)
Avoid breakage of langchain from orjson 3.10.7 (c990f73)
Deprecate disable_attribution in GoogleSearchRetrieval. (c68d559)
Documentation
- Update the docstring for compute_tokens method. (849e8d4)
1.61.0 (2024-08-05)
Features
Add a warning message for scheduled deprecation of Coherence metric class (7f238fb)
Add deprecation messages for all model-based metric classes (71c0fd3)
Add support for task type (CODE_RETRIEVAL_QUERY) through get_embeddings. (f2ce1e4)
Add system_instruction to LangchainAgent template. (c71c3dd)
Adding Slack and Jira data connector for RAG to SDK (d92e7c9)
Allow protobuf 5.x (ce9cd5d)
LVM - Release
ImageGenerationModel
to GA (718c199)Support “update” for reasoning engine. (b73ef3e)
Update Rapid Evaluation Service QPS. Add a customizable evaluation service QPS parameter. (9ee9289)
Documentation
Change init sample to use vertexai (829e0f6)
Make small fixes to file import documentation (f7d65c3)
1.60.0 (2024-07-24)
Features
Add preflight validations to PipelineJob submit and run methods. (c5a3535)
Add support for langchain v0.2+ package versions in default installation (259b638)
GenAI - Added tokenization support via
GenerativeModel.compute_tokens
(cfe0cc6)GenAI - ContextCaching - allow from_cached_content to take the cached_content resource name (8f53902)
Make count_tokens generally-available at TextEmbeddingModel. (efb8413)
Bug Fixes
Avoid throw error when Part.text is empty in modality content checks (bbd4a49)
Correct logit_bias type annotation to accept keys as strings (2676d25)
Create FV embedding dimensions sample - dimensions should be an int (2aa221e)
Fix the sync option for Model Monitor job creation (22151e2)
Include DeploymentResourcePool class in aiplatform top-level sdk module (ecc4f09)
Overriding the current TracerProvider when enabling tracing (1476c10)
Pass the project ID from vertexai.init to CloudTraceSpanExporter when enable_tracing=True for LangchainAgent (3ec043e)
Documentation
- GenAI - Update README.md for Vertex Generative AI SDK for Python to add subsections to the right nav. (42af742)
1.59.0 (2024-07-09)
Features
Add model and contents fields to ComputeTokensRequest v1 (f6e7b9c)
Add model and contents fields to ComputeTokensRequest v1beta1 (f6e7b9c)
Add role field to TokensInfo v1 (f6e7b9c)
Add role field to TokensInfo v1beta1 (f6e7b9c)
GenAI - Tuning - Released the Supervised Fine Tuning feature o GA (ae47639)
Bug Fixes
deps: Require proto-plus 1.22.3 (4131e65)
Offline store - set application name + remove session param (7395665)
1.58.0 (2024-07-03)
Features
Add deploy_metadata to PublisherModel.Deploy v1 (71e41c8)
Add deploy_metadata to PublisherModel.Deploy v1beta1 (b5c3cdd)
Add display tuning job button for Ipython environments when getting an existing job (872b455)
Add private_service_connect_config and service_attachment fields to DedicatedServingEndpoint v1 (71e41c8)
Add satisfies_pzs and satisfies_pzi fields to Model v1 (71e41c8)
Add satisfies_pzs and satisfies_pzi fields to Model v1beta1 (b5c3cdd)
Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1 (71e41c8)
Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1beta1 (b5c3cdd)
Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1 (71e41c8)
Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1beta1 (b5c3cdd)
Add use_effective_order field to BleuSpec v1beta1 (b5c3cdd)
GenAI - Evaluation - Add a progress bar for evaluation service requests (bbffb0d)
GenAI - Evaluation - Implement rate limiter and refactor parallelization for online evaluation service requests (bbffb0d)
GenAI - Evaluation - Return partial evaluation results with error logging (bbffb0d)
Migrate DeploymentResourcePool and associated functionality to V1 namespace for GA launch of model co-hosting. (1474d98)
Bug Fixes
IndexConfig
- use TreeAhConfig as defaultalgorithm_config
. (341d287)LVM - Update
Video.load_from_file()
to support storage.googleapis.com links (b63f960)
Documentation
Update comments of AutoscalingSpec v1 (71e41c8)
Update comments of AutoscalingSpec v1beta1 (b5c3cdd)
Update import paths for Gemini README (46b3042)
1.57.0 (2024-06-26)
Features
Add _ModelBasedMetric base class to
vertexai.preview.evaluation.metrics
and allow metric spec customization (536f1d5)Add
_AutomaticMetric
type and support customizing metric spec for automatic pointwise metrics. AddRouge
metric tovertexai.preview.evaluation.metrics
(f6b6dee)Add 12 model-based pointwise metric classes to
vertexai.preview.evaluation.metrics
(4742a87)Add display tuning job button for Ipython environments when starting a new job (b1e9a6c)
Add encryption_spec to TuningJob (5a6ce78)
Add enum value MALFORMED_FUNCTION_CALL to
.google.cloud.aiplatform.v1beta1.content.Candidate.FinishReason
(5a6ce78)Add fields grounding_chunks and grounding_supports to GroundingMetadata (5a6ce78)
Add MALFORMED_FUNCTION_CALL to FinishReason (5a6ce78)
Add preflight_validations to PipelineJob (5a6ce78)
Add streamRawPredict rpc to prediction service (5a6ce78)
Add support for hybrid queries for private endpoint in Matching Engine Index Endpoint. (ce65eab)
Add text field in Segment (5a6ce78)
Change the icon for the model evaluation link to a lightbulb for ipython environments (7dad7f0)
Endpoint.direct_predict (9351e1a)
Endpoint.direct_predict_async (9351e1a)
Endpoint.direct_raw_predict (9351e1a)
Endpoint.direct_raw_predict_async (9351e1a)
Endpoint.stream_direct_predict (9351e1a)
Endpoint.stream_direct_raw_predict (9351e1a)
Endpoint.stream_raw_predict (9351e1a)
Expose new text embedding tuning parameters in GA namespace. (249a5fa)
GenAI - Batch Prediction - Added support for tuned GenAI models (a90ee8d)
Mark default profile run as complete when calling end_upload_tb_log (6397f30)
Sample code for Vertex AI Feature Store (2c28b4e)
Sample code for Vertex AI Feature Store (2fbf5a5)
Tokenization - Added count_tokens support for local tokenization (a8a4c30)
Update rich html Ray on Vertex Client Context widget (380c9d9)
Bug Fixes
FeatureGroup.create()
- remove unused entity id column param (c46f3e9)Fix bug where retry_timeout does not work with evaluation with experiments (a31ac4d)
Use default run_name in Tensorboard uploader for direct directory upload. (78a92a1)
Documentation
A comment for field
distibution
in message.google.cloud.aiplatform.v1beta1.model_monitoring_stats.ModelMonitoringStatsDataPoint
is changed. (5a6ce78)A comment for field
name
in message.google.cloud.aiplatform.v1beta1.cached_content.CachedContent
is changed (5a6ce78)A comment for field
source
in message.google.cloud.aiplatform.v1beta1.tool.Retrieval
is added. (5a6ce78)Update the documentation for the
time_series_dataset
andvideo_dataset
classes (2cf4cb9)
1.56.0 (2024-06-18)
Features
Add
retry_timeout
to EvalTask invertexai.preview.evaluation
(4d9ee9d)Add hybrid query example to vector search sample. (510da5e)
Add metric classes for 2 pairwise metrics for rapid evaluation SDK. (831c8e4)
Add pipeline_job_name to allow PipelineJob.get(pipeline_job_name) (32e3b22)
Add sample code show how to create an optimized private online store in Vertex AI Feature Store. (e352175)
GenAI - Context Caching - add get() classmethod and refresh() instance method (6be874a)
GenAI - Context Caching - also print model_name and expire_time. (d548c11)
GenAI - Tuning - Added support for CMEK (eb651bc)
Bug Fixes
- Do not reset aiplatform.Experiment or aiplatform.ExperimentRun unnecessarily when running tensorboard uploader. (28a091a)
Documentation
- Update the documentation for the
time_series_dataset
andvideo_dataset
classes (d5dc7b5)
1.55.0 (2024-06-12)
Features
view model evaluations when AustoSxS pipeline completes (17c59c4c2)
Add support for user-configurable 1P embedding models and quota for RAG (8b3beb666)
Add Webpage Browser Extension to Vertex AI Extension SDK (c222f4bdb)
Add enable_tracing to LangchainAgent. (cad035cb3)
Implement multithreaded batch inference in Rapid Evaluation SDK for performance improvement (3c6d1732b)
Bug Fixes
support VPC and BYOSA case in Ray on Vertex JobSubmissionClient using cluster resource name (662d039c9)
Include tensorboard profiler requirements when installing google-cloud-aiplatformtensorboard
fix numerical NaN experiment run logging error in EvalTask. (641faec0b)
Generate uuid run_name when run_name_prefix is not specified. (4e2d87f9a)
Documentation
Update the documentation for the
image_dataset
class (583cb9313)Include imports in experiment_tracking samples directly in cloud.google.com snippets. (3ffb6cba7)
1.54.1 (2024-06-07)
Bug Fixes
1.54.0 (2024-06-06)
BREAKING CHANGES
- Remove Vertex SDK data science package (ec4ec8f)
Features
Add display experiment run button for Ipython environments (ba65828)
Add hybrid search for public find_neighbors() call. (9d35617)
Enable Ray Job submission without VPC peering (37875b5)
GenAI - Allowed callable functions to return values directly in Automatic Function Calling (768af67)
GenAI - Release ToolConfig to GA (bc8b14a)
Sample code for Vertex AI Feature Store (6c14e8b)
Support VertexTool in langchain template. (28a3c56)
Bug Fixes
Allow non-lro delete method (c23c0ad)
Deep copy dataset before passing it to evaluation (019b610)
Ensure model starts with publishers/ when users provide resource path from models/ (d689331)
Fix failed unit tests due to google-cloud-storage upgrade. (945b9e4)
Generalize RAG files import from Google Drive (88c6a6a)
Set upper bound of setuptools to unbreak public Colab for using vertex_ray namespace (6cc45bb)
1.53.0 (2024-05-30)
Features
Add a
cloneable
protocol for Reasoning Engine. (8960a80)Add labels parameter to the supervised tuning train method (f7c5567)
Added reboot command for PersistentResource (7785f8c)
Added the new
GenerationConfig.response_schema
field (#3772) (5436d88)Enable Tensorboard profile plugin in all regions by default. (8a4a41a)
GenAI - Added the
response_schema
parameter to theGenerationConfig
class (b5e2c02)LLM - Added the
seed
parameter to theTextGenerationModel
’spredict
methods (cb2f4aa)
Bug Fixes
Create run_name when run_name_prefix is not specified for Tensorboard uploader. (ac17d87)
GenAI - Tuning - Supervised - Fix
adapter_size
parameter handling to match enum values. (1cc22c3)Model Monitor console uri. (71fbc81)
1.52.0 (2024-05-21)
Features
Add FeatureGroup delete (f9011e0)
Add support for ToolConfig in the LangChain template (9bda328)
Create Vertex Experiment when uploading Tensorboard logs (339f8b6)
GenAI - Add BatchPredictionJob for GenAI models (df4a4f2)
GenAI - Add cancel, delete, list methods in BatchPredictionJob (7ff8071)
GenAI - Added the
BatchPredictionJob.submit
method (4d091c6)Private Endpoints - Added private service connect support to prediction endpoint. (6bdcfb3)
Bug Fixes
Add validation for evaluation dataset fields, update logging info for eval api request count (d6ef500)
Fix feature attribution drift visualization for model monitoring SDK (710f33d)
Fix the default value of response_column_name in EvalTask.evaluate() (98f9b35)
Update get_experiment_df to pass Experiment and allow empty metrics. (de5d0f3)
Documentation
Add Vertex Model Monitoring V2 SDK documentation (b47e6ff)
Update docstrings for rapid evaluation library. (d6d371d)
1.51.0 (2024-05-10)
Features
Add FeatureGroup create function (3938107)
Add FeatureGroup init/get (e47d436)
Add support for BaseModels in LangChain templates (5eb885e)
Added the
vision_models.Image._mime_type
property to makevision_models.Image
compatible withgenerative_models.Image
(6557d88)AutoSxS Pairwise Metric in Rapid Evaluation SDK (b0c5eda)
GenAI - Grounding - Released Google Web Search retriever to GA (32b030a)
GenAI - Tuning - Supervised - Added support for the
adapter_size
parameter (88188d2)LLM - Made the tuning location parameters truly optional (bae8429)
LLM - Support tuning of new text embedding models by migrating to the new v1.1.3 pipeline. (7fea754)
LLM - Text embedding - Added the
output_dimensionality
andlearning_rate_multiplier
parameters to text embedding tuning (Preview only) (cc8bc96)LLM - Text Embedding - Added validation for text embedding tuning parameters. (5a300c1)
Release Ray on Vertex SDK to GA (f7c5132)
Support custom service account for Ray cluster creation and Ray Client connection (e0c6227)
Support vector_distance_threshold filtering and file-based retrieval for RAG (cd85d8f)
Bug Fixes
A bug in the evaluation library where the job crashes if only custom metrics are specified. (c528b6f)
Add DeprecationWarning to vertexai.preview predictive models SDK (3c3727b)
Add MAX_TOKENS to the list of successful finish reasons for Rapid Evaluation SDK (195c77e)
AttributeError for TorchModelSerializer.deserialize in torch >=2.3.0 (20b1866)
GenAI - Fixed handling of multiple tools in
AutomaticFunctionCallingResponder
(58e6ac9)Remove InternalServerError and Unknown evaluation service error from retriable exceptions (12c147b)
Upload the reference model in model registry (510c833)
1.50.0 (2024-05-02)
Features
Add
Candidate.grounding_metadata
property (b22a8b8)Add option to not include time_series_metrics in get_experiment_df call. This will improve execution time for Experiments with large number of runs. (78a95c5)
Add tune_model and deploy_tuned_model for TextEmbeddingModel. (42f5d6f)
Automatically populate parents for full resource name in Vertex RAG SDK (26657ff)
Deploy a tuned text embedding model – it doesn’t matter, if it’s tuned using Node.js, or curl. (8ca9cdf)
Make get_embeddings work both for foundational & tuned models. (b8b589c)
Python SDK for Vertex Model Monitoring V2. (021d59f)
Support public endpoint for Ray Client (57a5f78)
Bug Fixes
Add deprecation warnings when using Ray v2.4 (3a36784)
Append allowed_plugins in tb-gcp-uploader to default allowed plugins (aab9c3e)
LLM - Added missing parameters to the no-op
_TunableTextEmbeddingModelMixin.get_tuned_model
method (eb05ac4)LVM - Fixed the typo in the VisionModel aspect ratio type annotation (2d19137)
Move torch import (e6d34df)
Ray - Fixed exception when using Ray 2.4 (2661f52)
1.49.0 (2024-04-27)
Features
Add additional parameters for
GenerationConfig
(0599ca1)Add FeatureNormType to
MatchingEngineIndexConfig
. (c0e7acc)Add mappings to pipeline templates for text-embedding models. (6279924)
Add support for TPU v5 lite pod(v5e) for custom training jobs. Custom training jobs now accept the v5e machine types as listed in https://cloud.google.com/tpu/docs/tpus-in-gke#v5e. (415912e)
Fix typo in Vertex Feature Store SDK. (b5404e7)
GenAI - Improved the exception messages when candidates, parts or text are not available (e82264d)
Support PreflightValidation in Preview PipelineJob submit function. (e88dc0d)
Tune_model method for class TextEmbeddingModel. (3eda55d)
Vertex RAG for enhanced generative AI (39b5149)
Bug Fixes
GCS Bucket subdirectory not being creating while using ReasoningEngine create method (3d22a18)
GenAI - Fixed the
Part.mime_type
property (819a44e)Handle missing import for RunnableConfig when generating schema for LangChain templates (76c5d6d)
Parse intermediate steps from LangChain into JSON. (754c89d)
Register TensorFlow models from Ray checkpoints for more recent TensorFlow version, addressing the deprecation of SavedModel format in keras 3 (1341e2c)
Tensorboard uploader - move remaining tensorboard uploader code to aiplatform (f34094b)
1.48.0 (2024-04-17)
Features
Add support for reading requirements from a file. (80db7a0)
Adding tpu_topology to Vertex SDK (423c764)
Enable continuous upload for profile logs. (f05924d)
GenAI - Added the
GenerationResponse.prompt_feedback
property (efd5a72)GenAI - Added the
GenerationResponse.usage_metadata
property (0654c35)Support
NOT_EQUAL
forMatchingEngineIndexEndpoint
numeric_restricts
. (aa918e3)Support referenced models in SDK. (c9b6b8b)
Bug Fixes
Add validation check for extra_packages when creating a reasoning engine. (255dabc)
Add validation for langchain tools. (a821d50)
Fixed the vertexai.init partial initialization issues (636a654)
GenAI - Workaround for streaming when content role is missing in service responses (fa35b91)
Documentation
Add Reasoning Engine reference documentation (496fc4b)
GenAI - Add Rapid Evaluation SDK reference documentation (40b728b)
1.47.0 (2024-04-06)
Features
Add display experiment button for tuning in Ipython environments (9bb687c)
Add Persistent Resource ID parameter to Custom Job form_local_script, run, and submit methods. (f5be0b5)
Add Persistent Resource Id parameter to Custom Training Job run and submit methods. (f428006)
Added GA support for PersistentResource management (98a07dd)
Added GA support for running Custom and Hp tuning jobs on Persistent Resources (35ecbac)
Added the
Experiment.dashboard_url
property (c8eec21)GenAI - Added support for
SafetySetting.method
(probability or severity) (317ab8f)GenAI - Added support for supervised fine-tuning (036d2d0)
GenAI - Added support for system instructions (4990eb6)
GenAI - Forced function calling feature (806ef9f)
Initial template for Langchain on Vertex. (0752a29)
LLM - Add RLHF-tuning support for
text-bison@002
(1f27c3e)Vertex AI Extension SDK Public Preview (137b5e1)
Vertex AI Reasoning Engine SDK Public Preview (6aaa5d0)
Vertex Rapid Evaluation SDK and Prompt Template for Vertex Prompt Management Public Preview (8c6ddf5)
Bug Fixes
GenAI - Fixed response validation error during streaming (c881998)
GenAI - Fixed the
GenerativeModel
’s handling of tuned models from different region (bf33fb3)GenAI - Fixed the TuningJob dashboard URL (5367fbb)
Reinstate persistent resource preview class and tests (765d60d)
Documentation
Add run custom job on persistent resource sample. (53fc845)
Add run custom job on persistent resource sample. (31100c6)
1.46.0 (2024-03-30)
Features
1.45.0 (2024-03-28)
Features
Add an arg to turn off Ray metrics collection during cluster creation (e33d11f)
Add Batch Delete and Batch Cancel Pipeline Jobs and unit tests. (cb495e7)
Add display model evaluation button for Ipython environments (181dc7a)
Add safety filter levels, watermark support and person generation support for Imagen 2 (0c498c5)
Add safety filter levels, watermark support and person generation support for Imagen 2 (e2efdbe)
Add support for output_dimensionality parameter through get_embeddings. (b1cab3f)
Add support for task types (TASK_QUESTION_ANSWERING, TASK_FACT_VERIFICATION) through get_embeddings. (9ec4590)
Add v1beta1 service clients for reasoning engine (13ec7e0)
GenAI - Support generating JSON Schema from Python function (be4922a)
Improve get_experiment_df execution speed (2e56acc)
Ray on Vertex enables XGBoost register model with custom version using pre-built container (e45ef96)
Support
accelerator_type
in RLHF tuning (e51c977)
Bug Fixes
Fix failing get_experiments_df test. (767712e)
GenAI - Capture content blocked case when validating responses (f0086df)
LLM - Fixed the
InlineContext
grounding source (6f59100)Made
Endpoint.raw_predict
thread-safe by settingauthorized_session
last (c72c1ef)
1.44.0 (2024-03-14)
Features
Add custom tool context manager for telemetry (b30f5a6)
Add display experiment button for Ipython environments (0b33bdd)
Allow module_name to be specified with the base logger. (c01df66)
Enable Ray cluster creation with custom_image for each Resource (f90c9cc)
GenAI - Added
function_calls
shortcut property toCandidate
class. (d6490ff)LLM - Added support for the
max_context_length
tuning parameter (e5daae9)Support
shard_size
forMatchingEngineIndex
create index. (6dbf7d3)Use colab enterprise enviroment variables to infer project_id and region (5baf5f8)
Bug Fixes
Batch read tensorboard time series data to allow reading more than 20 time series metrics. (6e3eac2)
GenAI - Fixed
get_tuned_model
deploying the model every time (e1c7870)GenAI - Improved
from_dict
methods for content types (GenerationResponse
,Candidate
,Content
,Part
) (613ce69)Improve import time by moving TensorFlow to lazy import (f294ba8)
LVM - Added support for GCS
storage.googleapis.com
URL import invision_models.Image
(2690e72)Raise AttributeError for accessing non-existent fields of a proto. (b91edf5)
Documentation
Fixed the documentation generation (63ad1bf)
GenAI - Added the GA classes to the documentation (9eb5a52)
1.43.0 (2024-02-29)
Features
Add
update_mask
toMatchingEngineIndex
upsert_datapoints()
to support dynamic metadata update. (81f6a25)Add Ray on Vertex BigQuery read/write support for Ray 2.9 (e048e3a)
Add read_bigquery and write_bigquery wrappers for Ray on Vertex (4739118)
Add transport override to enable the use of REST instead of GRPC (6ab4084)
Enable Ray cluster creation and registering TensorFlow checkpoint to Vertex with Ray version 2.9 (ff148cd)
LLM - Add support for batch prediction to
CodeGenerationModel
(code-bison
) (fbf2f7c)Support custom
timeout
forMatchingEngineIndex
andMatchingEngineIndexEndpoint
APIs. (09d1946)Update ray extras installation in setup.py for Ray 2.9.3 (d947304)
Bug Fixes
Allow destination directory to exist before we copy. (0b55762)
LVM - Fixed
VideoSegmentConfig
in Multimodal Embeddings API call (665e78c)
Documentation
- Update transport docstrings to include that REST is in preview (a442866)
1.42.1 (2024-02-15)
Bug Fixes
Handle case when no metadata is returned from model.predict (59e2bca)
Remove runtime dependency of setuptools (07c2a25)
Documentation
GenAI - Docs - Added quickstart link and minimum SDK version (cf6ab21)
GenAI - Updated the README for GA (cfd96d8)
1.42.0 (2024-02-15)
Features
Add Candidate.grounding_metadata (310ee49)
Add GoogleSearchRetrieval (310ee49)
Add metadata in model.predict output for LLMs (4661e58)
Add Retrieval (310ee49)
Add Tool.google_search_retrieval (310ee49)
Add Tool.retrieval (310ee49)
Add VertexAiSearch (310ee49)
GenAI - Added
to_dict()
methods to response and content classes (a78748e)GenAI - Added support for Grounding (0c3e294)
GenAI - Added the
GenerativeModel.start_chat(response_validation: bool = True)
parameter (94f7cd9)GenAI - GAPIC - Added support for Grounding (310ee49)
GenAI - Release the GenerativeModel to GA (c7e3f07)
LLM - Add newly supported model
text-bison@002
, update pipeline template version and prediction row limit for pipeline-based LLM Evaluation SDK (35e57b3)LVM - Add GCS URI support for Imagen Models (
imagetext
,imagegeneration
) (4109ea8)LVM - Added support for Images from GCS uri for multimodal embeddings (90d95d7)
LVM - Added support for Videos from GCS uri for multimodal embeddings (f3bd3bf)
Support custom image for Ray cluster creation (d727189)
Bug Fixes
Add google-auth as a direct dependency (ecc6454)
Add restricts and crowding tag to
MatchingEngineIndexEndpoint
query response. (83cb52d)Remove usage of distutils (e35ab64)
Documentation
1.41.0 (2024-02-05)
Features
Add
numeric_filter
toMatchingEngineIndexEndpoint
match()
andfind_neighbor()
private endpoint queries. (679646a)Added the
BatchPredictionJob.submit
method - a non-blocking version ofBatchPredictionJob.create
(b62ddcd)LLM - Add support for RLHF tuning (b2458ec)
Remove deletion of model upload staging bucket in system tests (b9b373b)
Switch Python generateContent to call Unary API endpoint (9a19545)
Bug Fixes
- Fix crash when no target_col is specified for Bigframes tensorflow (512b82d)
Documentation
- Add missing code block in docs/README.rst (16d6b58)
1.40.0 (2024-01-24)
Features
Add
return_full_datapoint
forMatchEngineIndexEndpoint
match()
. (ad8d9c1)Add batch delete method in preview pipeline job class and unit test. (b0b604e)
Add option to not overwrite table in Ray on Vertex BQ Write (a99e992)
Add query by id for
MatchingEngineIndexEndpoint
find_neighbors()
public endpoint query. (42c7e08)Add support for
low_level_batch_size
inmatch()
forMatchingEngineIndexEndpoint
private query. (67e593b)Added Public Preview support for PersistentResource management (262a36b)
Enable inline context in grounding to TextGenerationModel predict. (a75e81c)
Fix dataset export system test (1fbf049)
LVM - Added the
MultiModalEmbeddingModel.get_embeddings(dimension=...)
parameter (1d9bd23)Support empty index for
MatchingEngineIndex
create index. (a00db07)Support private service connect for
MatchingEngineIndexEndpoint
match()
andread_index_datapoints()
. (61cff4b)
Bug Fixes
Fix example usage of batch delete pipelinejobs. (3b28d64)
Fix experiments failure when backing tensorboard has been deleted. (e7a197e)
Fix message to Json parse issue in Dataset class (066f32d)
Fix typo in raise exception when tool is unsupported (2301d79)
Fixed the PipelineJob bucket creation after a breaking change in Google Cloud Storage client library (a8b01e0), closes #2936
Increase memory for Ray on Vertex default machine type (e6bcb17)
Use https to connect through Ray dashboard (7af3e67)
1.39.0 (2024-01-05)
Features
Add
fraction_leaf_nodes_to_search_override
. Add support for private endpoint infind_neighbors
. (cd31c13)Add notification_channels field to model monitoring alert config. (bb228ce)
Add support of newly added fields of ExportData API to SDK (ec3ea30)
Allow reuse of deleted experiment run id. (5f6ad8d)
GenAI - Added support for “models/
Support “reservedIpRanges” parameter in PipelineJob run() and submit() methods. (ab99e00)
Support custom target y column name for Bigframes Tensorflow (1634940)
Verify client and cluster Ray versions match in create_ray_cluster (17dc9b7)
Bug Fixes
Missing request parameter for v1beta explain. (443fa9d)
Pin google-cloud-aiplatform[tensorboard] dependency on tensorflow < 2.15.0 due to breaking change introduced in tensorboard 2.15.1 (4e891f7)
Documentation
GenAI - Added GenAI to docs (92fd7f0)
Update docstring for start_upload_tb_log() (c033c59)
Update tensorboard continuous uploader sample (1220746)
1.38.1 (2023-12-13)
Features
Adding
serving_container_grpc_ports
parameter to Model.upload() method (6a00ed7)LLM - Added support for model distillation (28925e9)
Support CMEK for scheduled pipeline jobs. (406595d)
Miscellaneous Chores
- Release 1.38.1 (537d00e)
1.38.0 (2023-12-11)
Features
Release GenerativeModel support for Gemini (cd233ef)
Add explicit constraints for update_ray_cluster (979a4f3)
Check if dataset exists before creation for Ray on Vertex BigQuery Write (544d6fe)
LLM - Added support for the
logprobs
,presence_penalty
,frequency_penalty
, andlogit_bias
generation parameters (1449344)Support
read_index_datapoints
for private network. (c9f7119)Support custom batch size for Bigframes Tensorflow (7dc8771)
Update the v1 service definition to add numeric_restricts. (d0c2ffa)
Verify client and cluster Ray versions match (10c6ad2)
Bug Fixes
read_index_endpoint
private endpoint support. (3d8835e)Fix exception message to use vertexai when project is not provided. (0cb1a7b)
Update test assumption for streaming endpoint of chat-bison@001 (f9a5b69)
When user is not logged in, throw more intuitive message (a8b24ad)
Documentation
- Add default value to optional field parameter_values (0a4d772)
1.37.0 (2023-12-05)
Features
Add additional parameters to Model.upload(). (7b7d7d2)
Adding support for concurrent explanations (8e2ad75)
Allow configuring container logging settings on models when deploying. (beae48f)
Support user provided api endpoint. (92f2b4e)
Add grpc_ports to UploadModel ModelContainerSpec, add DirectPredict, DirectRawPredict, StreamingPredict, StreamingRawPredict to PredictionService. (6dfbad7)
Bug Fixes
Clarify wording when Ray on Vertex cluster is missing head node ip (4a71c8c)
Fix error when allowed_plugins is set to None. (6f2860a)
Fixed INTEGER and BOOL parameters casting issue. Fix conversion bug where
INTEGER
andBOOL
parameters are not cast to the correct type. (9a204c4)Make PipelineJobSchedule propagate labels to created PipelineJobs (a34533f)
Documentation
Add upload Tensorboard profile log to Experiment sample. (5780513)
Update the documentation for the
image_dataset
class (8562368)
1.36.4 (2023-11-16)
Features
Add
numeric_restricts
to MatchingEngineIndexfind_neighbors()
for querying (6c1f2cc)Add
remove_datapoints()
toMatchingEngineIndex
. (b86a404)Add
upsert_datapoints()
toMatchingEngineIndex
to support streaming update index. (7ca484d)LLM - include error code into blocked response from TextGenerationModel, ChatModel, CodeChatMode, and CodeGenerationModel. (1f81cf2)
Populate Ray Cluster dashboard_address from proto field (dd4b852)
add CountTokens API, ComputeTokens API, and ModelContainerSpec features (ba2fb39)
Bug Fixes
Add check for empty
encryption_spec_key_name
for MatchingEngineIndexEndpointcreate
. (7740132)Fix server error due to no
encryption_spec_key_name
in MatchingEngineIndexcreate_tree_ah_index
andcreate_brute_force_index
(595b580)
Miscellaneous Chores
- Release 1.36.4 (1fd7b4e)
1.36.3 (2023-11-14)
Features
Add option to not use default tensorboard (a25c669)
Add preview HyperparameterTuningJob which can be run on persistent resource (0da8c53)
Add Featurestore Bigtable Serving, Feature Registry v1, November bulk GAPIC release (9f46f7c)
Documentation
- Fix documentation for obsolete link to GCS formatting (95184de)
Miscellaneous Chores
- Release 1.36.3 (fdee5cb)
1.36.2 (2023-11-10)
Features
Add
encryption_spec_key_name
toMatchingEngineIndex
create_tree_ah_index
and (1a9e36f)Add
encryption_spec_key_name
,enable_private_service_connect
,project_allowlist
to MatchingEngineIndexEndpointcreate
. (750e17b)Add
index_update_method
to MatchingEngineIndexcreate()
(dcb6205)Expose max_retry_cnt parameter for Ray on Vertex BigQuery write (568907c)
LLM - Grounding - Added support for the
disable_attribution
grounding parameter (91e985a)LLM - Support model evaluation when tuning chat models (
ChatModel
,CodeChatModel
) (755c3f9)LVM - Added multi-language support for
ImageGenerationModel
(791eff5)
Bug Fixes
- Async call bug in CodeChatModel.send_message_async method (fcf05cb)
Documentation
Add Bigframes remote training example to vertexai README (8b993b3)
Update the documentation for the
tabular_dataset
class (6f40f1b)
Miscellaneous Chores
- Release 1.36.2 (01be0c9)
1.36.1 (2023-11-07)
Features
Add
per_crowding_attribute_neighbor_count
,approx_num_neighbors
,fraction_leaf_nodes_to_search_override
, andreturn_full_datapoint
to MatchingEngineIndexEndpointfind_neighbors
(33c551e)Add profiler support to tensorboard uploader sdk (be1df7f)
Add support for
per_crowding_attribute_num_neighbors
approx_num_neighbors
to MatchingEngineIndexEndpointmatch()
(e5c20c3)Add support for
per_crowding_attribute_num_neighbors
approx_num_neighbors
to MatchingEngineIndexEndpointmatch()
(53d31b5)Add support for
per_crowding_attribute_num_neighbors
approx_num_neighbors
to MatchingEngineIndexEndpointmatch()
(4e357d5)Enable grounding to ChatModel send_message and send_message_async methods (d4667f2)
Enable grounding to TextGenerationModel predict and predict_async methods (b0b4e6b)
LLM - Added support for the
enable_checkpoint_selection
tuning evaluation parameter (eaf4420)LLM - Added tuning support for the
\*-bison-32k
models (9eba18f)LLM - Released
CodeChatModel
tuning to GA (621af52)
Bug Fixes
- Correct class name in system test (b822b57)
Documentation
- Clean up RoV create_ray_cluster docstring (1473e19)
Miscellaneous Chores
- Release 1.36.1 (1cde170)
1.36.0 (2023-10-31)
Features
Add preview count_tokens method to CodeGenerationModel (96e7f7d)
Allow the users to use extra serialization arguments for objects. (ffbd872)
Also support unhashable objects to be serialized with extra args (77a741e)
LLM - Added
count_tokens
support to ChatModel (preview) (01989b1)LLM - Added new regions for tuning and tuned model inference (3d43497)
LLM - Added support for async streaming (760a025)
LLM - Added support for multiple response candidates in code chat models (598d57d)
LLM - Added support for multiple response candidates in code generation models (0c371a4)
LLM - Enable tuning eval TensorBoard without evaluation data (eaf5d81)
LLM - Released
CodeGenerationModel
tuning to GA (87dfe40)LLM - Support
accelerator_type
in tuning (98ab2f9)Support experiment autologging when using persistent cluster as executor (c19b6c3)
Upgrade BigQuery Datasource to use write() interface (7944348)
Bug Fixes
Adding setuptools to dependencies for Python 3.12 and above. (afd540d)
Fix Bigframes tensorflow serializer dependencies (b4cdb05)
LLM - Fixed the async streaming (41bfcb6)
LLM - Make tuning use the global staging bucket if specified (d9ced10)
LVM - Fixed negative prompt in
ImageGenerationModel
(cbe3a0d)Made the Endpoint prediction client initialization lazy (eb6071f)
Make sure PipelineRuntimeConfigBuilder is created with the right arguments (ad19838)
Make sure the models list is populated before indexing (f1659e8)
Raise exception for RoV BQ Write for too many rate limit exceeded (7e09529)
Rollback BigQuery Datasource to use do_write() interface (dc1b82a)
1.35.0 (2023-10-10)
Features
Add serializer.register_custom_command() (639cf10)
Install Bigframes sklearn dependencies automatically (7aaffe5)
Install Bigframes tensorflow dependencies automatically (e58689b)
Install Bigframes torch dependencies automatically (1d65347)
LLM - Added support for multiple chat response candidates (587df74)
LLM - Added support for multiple text generation response candidates (c3ae475)
Bug Fixes
Duplicate logs in Colab (9b75259)
LLM - Fixed tuning and evaluation when explicit credentials are specified (188dffe)
Documentation
- Add probabilistic inference to TiDE and L2L model code samples. (efe88f9)
1.34.0 (2023-10-02)
Features
Add Model Garden support to vertexai.preview.from_pretrained (f978200)
Enable vertexai preview persistent cluster executor (0ae969d)
LLM - Added the
count_tokens
method to the previewTextGenerationModel
andTextEmbeddingModel
classes (6a2f2aa)LLM - Improved representation for blocked responses (222f222)
LLM - Released
ChatModel
tuning to GA (7d667f9)
Bug Fixes
- Create PipelineJobSchedule in same project and location as associated PipelineJob by default (c22220e)
Documentation
- Add documentation for the preview namespace (69a67f2)
1.33.1 (2023-09-20)
Bug Fixes
- Lightning trainer fails to be unwrapped in remote training (8271301)
1.33.0 (2023-09-18)
Features
Add Custom Job support to from_pretrained (8b0add1)
Added async prediction and explanation support to the
Endpoint
class (e9eb159)LLM - Added support for async prediction methods (c9c9f10)
LLM - CodeChat - Added support for
context
(f7feeca)Release Ray on Vertex SDK Preview (3be36e6)
Bug Fixes
Handle Ray image parsing error (41a3a83)
Vizier - Fixed field existence checks for child params in to_proto(). (d516931)
1.32.0 (2023-09-05)
Features
LLM - Added
stop_sequences
parameter to streaming methods andCodeChatModel
(d62bb1b)LLM - Improved the handling of temperature and top_p in streaming (6566529)
Support bigframes sharded parquet ingestion at remote deserialization (Tensorflow) (a8f85ec)
Release Vertex SDK Preview (c60b9ca)
Allow setting default service account (d11b8e6)
Bug Fixes
Fix feature update since no LRO is created (468e6e7)
LLM -
CodeGenerationModel
now supports safety attributes (c2c8a5e)LLM - Fixed batch prediction on tuned models (2a08535)
LLM - Fixed the handling of the
TextEmbeddingInput.task_type
parameter. (2e3090b)Make statistics Optional for TextEmbedding. (7eaa1d4)
1.31.1 (2023-08-24)
- fix: LLM - De-hardcoded the
max_output_tokens
default value for theCodeGenerationModel
(f5a20eb)
1.31.0 (2023-08-21)
Features
Add disable_retries option to custom jobs. (db518b0)
LLM - Added support for
stop_sequences
in inference (6f7ea84)LLM - Exposed the
TextGenerationResponse.raw_prediction_response
(f8f2b9c)LLM - Made tuning asynchronous when tuning becomes GA (226ab8b)
LLM - release model evaluation for TextGenerationModel to public preview (8df5185)
LLM - Released
TextGenerationModel
tuning to GA (62ff30d)LLM - Support streaming prediction for chat models (ce60cf7)
LLM - Support streaming prediction for code chat models (0359f1d)
LLM - Support streaming prediction for code generation models (3a8348b)
LLM - Support streaming prediction for text generation models (fb527f3)
LLM - TextEmbeddingModel - Added support for structural inputs (
TextEmbeddingInput
),auto_truncate
parameter and resultstatistics
(cbf9b6e)LVM - Added support for Image Generation models (b3729c1)
LVM - Released
ImageCaptioningModel
to GA (7575046)LVM - Released
ImageQnAModel
to GA (fd5cb02)LVM - Released
MultiModalEmbeddingModel
to GA (e99f366)LVM - Removed the
width
andheight
parameters fromImageGenerationModel.generate_images
since the service has dropped support for image sizes and aspect ratios (52897e6)Scheduled pipelines client GA. (62b8b23)
Documentation
Generate documentation for tune_model and related class (705e1ea)
LVM - Added autogenerated documentation for visual models (18e8bb2)
1.30.1 (2023-08-11)
Features
LLM - Added tuning support for
chat-bison
models (3a97c52)LLM - Added tuning support for
codechat-bison
models (af6e455)
Bug Fixes
- LLM - Fixed the
TextGenerationModel.predict
parameters (f3b25ab)
Miscellaneous Chores
- Release 1.30.1 (d1c79c4)
1.30.0 (2023-08-10)
Features
Add model.evaluate() method to Model class (51df86e)
Add support for providing only text to MultiModalEmbeddingModel.get_embeddings() (38ec40a)
Bug Fixes
- LLM - Fixed filter in
list_tuned_model_names
(57806fb)
1.29.0 (2023-08-02)
Features
Add preview CustomJob which can be run on persistent resource (56906b0)
LLM - Support for Batch Prediction for the
textembedding
models (preview) (a368538)LLM - Support tuning for the code-bison model (preview) (e4b23a2)
LVM - Large Vision Models SDK (preview release). Support for image captioning and image QnA (
imagetext
model) and multi modal embedding (multimodelembedding
model) (preview) (9bbf1ea)
Bug Fixes
- LLM - Fixed
get_tuned_model
for the future models that are nottext-bison
(1adf72b)
Documentation
Fix auto-generated pydoc for language_models (7d72bd1)
LLM - Made it possible to provide message history to
CodeChatModel
when starting chat. (cf46145)
1.28.1 (2023-07-18)
Features
LLM - Released the BatchPrediction to GA for TextGenerationModel (701c3a2)
LLM - Support tuning in the “us-central1” location (4aa7745)
Bug Fixes
Fix artifact registry link not showing in ui when creating schedules with SDK. (203cb47)
Fixed the installation error caused by a PyYAML issue (4b86ce1)
Require model name in ModelEvaluation.list() (aed8c76)
Documentation
- Fixed a docstring for train_steps (1f55b05)
Miscellaneous Chores
- Release 1.28.1 (8ebf22e)
1.28.0 (2023-07-08)
Features
- LLM - Released the Chat models to GA (22aa26d)
1.27.1 (2023-07-06)
Features
- Add sdk support for xai example-based explanations (f9ca1d5)
Miscellaneous Chores
- Release 1.27.1 (2159f29)
1.27.0 (2023-06-30)
Features
Add submit for CustomTrainingJob and CustomContainerTrainingJob which won’t block until complete. (d6476d0)
LLM - Added support for
learning_rate
in tuning (c6cdd10)LLM - Released the Codey models to GA (89609c9)
Bug Fixes
Fix aiplatform.init bug by replacing experiment_name with experiment (c60773a)
Fix error when calling update_state() after ExperimentRun.list() (cb255ec)
LLM - Exported the
ChatMessage
class (7bf7634)LLM - Fixed the chat models failing due to safetyAttributes format (459ba86)
Vizier - Fixed pyvizier client study creation errors (16299d1)
Documentation
Fixed a docstring for _Dataset (b68a941)
Fixed a docstring for TimeSeriesDataset (a7dfce2)
Populate GA LLM SDK Pydocs (e248285)
Update scheduled pipelines client max_run_count docstring with allowed values. (750e161)
1.26.1 (2023-06-21)
Features
Add additional scheduled pipelines client getters and unit tests. (9371b4f)
Add PipelineJobSchedule update method and unit tests. (69c5f60)
Add tunable parameters for Model Garden model training to the “AutoMLImageTrainingJob” in SDK. (50646be)
LLM - Added batch prediction (2235305)
LLM - Exposed the chat history (bf0e20b)
LLM - Exposed the safety attributes (01ba3ca)
Bug Fixes
Change scheduled pipelines client dashboard uri to view created schedules. Note: uri will not work until scheduler UI is GA. (d4d8613)
Fix bug where scheduled pipeline jobs were not running. (4e7d11a)
Remove Schedule read mask because ListSchedules does not support it. (1fda417)
Miscellaneous Chores
- Release 1.26.1 (42567d2)
Documentation
- Update scheduled pipelines client wait() docstring. (a7d92e5)
1.26.0 (2023-06-07)
Features
Add additional scheduled pipelines client create method unit tests. (0463678)
Add pipelineJob create_schedule() method and unit test. (635ae9c)
Add scheduled pipelines client create/get methods and unit tests. (4755fc7)
Add scheduled pipelines client list/pause/resume methods and unit tests. (ce5dee4)
Adding
enable_access_logging
parameter to Endpoint.deploy() method, minor edit to batch_predict() docstring (794cedd)LLM - Added support for CMEK in tuning (aebf74a)
LLM - Released the LLM SDK to GA (76465e2)
Support publisher models in
BatchPredictionJob.create
(13b11c6)
Bug Fixes
CustomJob.from_local_script does not pass args to script for custom container images (6ead69d)
Fix bug when checking PipelineJob failure status (a154859)
Fix the bug that start_upload_tb_log() doesn’t continuously upload (66e6eae)
LLM - Fixed parameters set in
ChatModel.start_chat
being ignored (a0d815d)LLM - Fixed the DataFrame staging on Windows (056b0bd)
Resource created by
_construct_sdk_resource_from_gapic
should use the project from the resource name instead of the default project. (162b2f2)Retry for etag errors on context update. (d3d5f9a)
Unbreak additional timeout for MatchingEngineIndexEndpoint deploy_index (af199c0)
Documentation
Correct text embedding model ID docstring (8824629)
LLM - Fixed the rendering of the example usage code blocks. (eaaee28)
1.25.0 (2023-05-09)
Features
Add support for Large Language Models (866c6aa)
Add default TensorBoard support. (fa7d3a0)
Add support for find_neighbors/read_index_datapoints in matching engine public endpoint (e3a87f0)
Added the new root
vertexai
package (fbd03b1)
Bug Fixes
EntityType RPC update returns the updated EntityType - not an LRO. (8f9c714)
Fix default AutoML Forecasting transformations list. (77b89c0)
Fix type hints for
Prediction.predictions
. (56518f1)Removed parameter Resume, due to causing confusion and errors. (c82e0b5)
1.24.1 (2023-04-21)
Features
Add preview capability to deploy models with shared resources. (29d4e45)
Add support for create public index endpoint in matching engine (7e6022b)
Add support for return public endpoint dns name in matching engine (1b5ae44)
Add the new model types to “AutoMLImageTrainingJob” in SDK. (4d032d5)
Adds the Time series Dense Encoder (TiDE) forecasting job. (d8e6744)
Remove google internal annotation when export to github. (fd5ff99)
Bug Fixes
- Support timestamp in Vertex SDK write_feature_values() (4b0722c)
Documentation
Add Time series Dense Encoder (TiDE) model code sample. (8e91a58)
Fix docstring formatting for exceptions (d75322c)
Miscellaneous Chores
- Release 1.24.1 (cf633a2)
1.24.0 (2023-04-12)
Features
Add ExperimentRun.get_logged_custom_jobs method (c116b07)
Add get method for Experiment and ExperimentRun (41cd943)
Add incremental training to AutoMLImageTrainingJob. (bb92380)
Add preview capability to manage DeploymentResourcePools. (5df5da0)
Add start_time support for BatchReadFeatureValues wrapper methods. (91d8459)
Add TensorBoard log uploader (3fad7bb)
Enable deployment of models that do not support deployment (25f3f21)
Enable experiment tracking in CustomJob (94a63b8)
Update the v1 service definition to add the embedding_id field in MatchRequest. (5a1146e)
Bug Fixes
- Adding previously created PrivateEndpoint network parameter in Model deploy helper method (3e1b206)
Documentation
Fix create tensorboard sample (2c45123)
samples: Add sample for experiment run state update. (111a747)
Update docstring for 3 model uploading methods (a71e4a3)
Update Vertex Forecasting weight column description. (e0ee183)
1.23.0 (2023-03-15)
Features
Implement Model.copy functionality. (94dd82f)
Update the v1 service definition to add the fraction_leaf_nodes_to_search_override field which replaces leaf_nodes_to_search_percent_override. (badd386)
Documentation
- Added missing comma in README (8cb4377)
1.22.1 (2023-02-28)
Features
Add support for enable_dashboard_access field for Training jobs in SDK (3500eab)
Add the recently added new model type “cloud_1” to the “AutoMLImageTrainingJob” in SDK. (581939b)
Documentation
Add temporal fusion transformer (TFT) model code sample. (8ddc062)
samples: Add samples for autologging (f8052b8)
Miscellaneous Chores
- Release 1.22.1 (ed4c0b1)
1.22.0 (2023-02-16)
Features
Add a return value (ClassificationMetrics) for the log_classification_metrics() (8ebcdbd)
Add metric and parameter autologging to experiments (96e9e12)
Add update_version to Model Registry (8621e24)
Support a list of GCS URIs in CustomPythonPackageTrainingJob (05bb71f)
Support Model Serialization in Vertex Experiments(tensorflow) (f38ddc2)
Bug Fixes
Added missing instances_format parameter to batch_prediction_job_samples (82a2afc)
Address broken unit tests in certain environments (d06b22d)
List method for MLMD schema classes (2401a1d)
Unbreak additional timeout for _deploy_call() (076308f)
Unbreak additional timeout for MatchingEngine update_embeddings (5d0bc1e)
Unbreak timeouts for Dataset create. (328ebac)
Use Client.list_blobs instead of Bucket.list_blobs in CPR artifact downloader, to make sure that CPR works with custom service accounts on Vertex Prediction. (bb27619)
Documentation
Add a hint to auth Docker to the LocalModel push_image docstring. (e97a6fb)
Fix Create and Import Tabular BQ dataset sample (4415c10)
Fix LocalModel push_image docstring. (5fdb7fc)
Fixed a typo in docstring. (4ee6232)
New samples for model serialization (83457ca)
Samples for model serialization (7997094)
1.21.0 (2023-01-13)
Features
Add default skew threshold to be an optional input at _SkewDetectionConfig and also mark the target_field and data_source of skew config to optional. (7da4164)
Add filter to Model Registry list_versions API. (c1cb33f)
Add MLMD schema class ExperimentModel (94b2f29)
Add Service Account support to BatchPredictionJob (deba06b)
Add support for Predict Request Response Logging in Endpoint SDK (372ab8d)
Adding Feature Store: Streaming ingestion to GA (6bc4c84)
Enable passing experiment_tensorboard to init without experiment (369a0cc)
Support Model Serialization in Vertex Experiments(sklearn) (d4deed3)
Support Model Serialization in Vertex Experiments(xgboost) (fe75eba)
Bug Fixes
Endpoint.undeploy_all()
doesn’t undeploy all models (9fb24d7)Fix bug in associating tensorboard to an experiment (6def0b8)
Pin shapely version to <2.0.0 (1efd816)
Unbreak timeouts for Dataset create, FeatureStore ingest, and MatchingEngine Index create. (3096d1c)
Updated proto message formatting logic for batch predict model monitoring (f87fef0)
1.20.0 (2022-12-15)
Features
Adds the temporal fusion transformer (TFT) forecasting job (99313e0)
Reraise exceptions from API calls (d72bc83)
Documentation
- samples: Feature Store: Streaming ingestion code sample and test (bc9e2cf)
1.19.1 (2022-12-08)
Features
- Add explanationSpec to TrainingPipeline-based custom jobs (957703f)
Bug Fixes
Add pre-built container(tf2-gpu-2-1) to the container URI list (cdd557e)
Fix bug that broke profiler with ‘0-rc2’ tensorflow versions. (8779df5)
Fixed argument name in UnmanagedContainerModel (d876b3a)
Documentation
Add a sample for create_tensorboard. (52656ca)
Fix Experiment resource name format docstring. (f8e5842)
Fix get Experiment data frame sample (24e1465)
Update docstrings for “data_item_labels” in dataset (b2f8c42)
Update README fix product doc link (43a2679)
Miscellaneous Chores
- Release 1.19.1 (f01867f)
1.19.0 (2022-11-17)
Features
Add Feature Store: Streaming Ingestion (write_feature_values()) and introduce Preview namespace to Vertex SDK (bae0315)
Add bq_dataset_id parameter to batch_serve_to_df (bb72562)
Add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto (43e2805)
Add support for ordery_by in Metadata SDK list methods for Artifact, Execution and Context. (2377606)
Support global network parameter. (c7f57ad)
Bug Fixes
Correct data file gcs path for import_data_text_sentiment_analysis_sample test (86df4b5)
Print error for schema classes (13e2165)
Documentation
- Update README with new link for AI Platform API (35b83d9)
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)