Changelog
All notable changes to this project will be documented on this page.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
[1.1.0] - 2024-11-04
Added
- Introduced a timeout parameter (default: 5 seconds) for MLOpsScoringDeployment's methods:
get_capabilities
,get_sample_request
, andget_schema
. - Added support for creating deployment with token-based authentication as a security option.
- Enabled model deletion.
- Enabled the option to unregister an experiment from a model.
- Introduced the
disabled_security
option to manage deployments with No-Security.
Fixed
- Upgraded the minimum supported Python version to 3.9.
[1.0.1] - 2024-10-18
Fixed
- Improved handling of missing deployment attributes (security and monitor) in backend responses.
[1.0.0] - 2024-08-26
Changed
- Removed the
external_registry
package.
[0.65.1a3] - 2024-07-01
Fixed
vLLM Configuration artifacts not being uploadable because of a missing target column.
Note: vLLM Configuration artifacts are a preferred alternative to using MLflow to create vLLM artifacts.
[0.65.1a2] - 2024-06-20
Fixed
- Failures when a deployment is missing Kubernetes options.
[0.65.1a1] - 2024-06-18
Added
- Ability to disable storage of scored data when monitoring is enabled. For more information, see Monitoring options.
Changed
- Use H2O MLOps 0.65.1 backend.
[0.64.0a2] - 2024-05-20
Added
- Ability to set environment variables in the scoring runtime of a new or existing deployment. For more information, see Deployment environment variables.
[0.64.0a1] - 2024-04-09
Changed
- Use H2O MLOps 0.64.0 backend.
[0.62.1a7] - 2024-03-06
Fixed
"latest"
model version specifier didn't always retrieve the last model version created. This could cause deployments to use the wrong model version.
[0.62.1a6] - 2024-02-13
Added
- Ability to download experiment artifacts. For more information, see Experiment artifacts tutorial.
- Ability to override experiment artifact
mime_type
when adding a new artifact. For more information, see Experiment artifacts tutorial.
[0.62.1a5] - 2023-12-04
Added
- Metadata property for experiments.
[0.62.1a4] - 2023-12-01
Added
- Owner attribute for deployments, experiments, models, and projects.
- Ability to view deployment Kubernetes options (including requests, limits, affinity, and toleration).
- Ability to update deployment Kubernetes options (including scaling deployment down to zero resource usage).
- Ability to view deployment security options.
- Ability to update deployment security options (including changing passphrase for existing deployments).
- Ability to enable/disable monitoring for new and existing deployments.
Changed
- "UNHEALTY" status typo corrected to "UNHEALTHY".
[0.62.1a3] - 2023-11-20
Added
- Support for experiment artifacts.
Changed
experiment.artifact_types
renamed toexperiments.scoring_artifact_types
.
Fixed
- List methods not returning over 100 entries.
[0.62.1a2] - 2023-11-13
Added
- Support for experiment comments.
- Support for experiment tags.
- Integration of https://github.com/h2oai/cloud-discovery-py.
[0.62.1a1] - 2023-10-16
Changed
- Use MLOps 0.62.1 backend.
[0.61.1a3] - 2023-07-28
Changed
MLOpsClient
class renamed toClient
._mlops_backend
attribute renamed to_backend
.
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