Kartik Kalamadi
d18ad7a563
AWS SageMaker : Use IAM Roles for Service Account ( #3719 )
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* don't use aws-secret and update readme for sample pipelines
* Addressed comments on PR and few more readme changes
* small changes to readme
* nit change
* Address comments
2020-05-21 10:36:14 -07:00
Gautam Kumar
6e2a55cf84
Changing the default volume size to 30 ( #3792 )
2020-05-20 12:36:20 -07:00
Nicholas Thomson
ddd1969b34
[AWS SageMaker] Unit tests for Training component ( #3722 )
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* Added additional training unit tests
* Add main training function tests
* Add full training test coverage
* Fix import sys
* Fix poorly named test
2020-05-13 16:14:22 -07:00
Nicholas Thomson
bd8c1ddd38
[AWS SageMaker] Specify component input types ( #3683 )
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* Replace all string types with Python types
* Update HPO yaml
* Update Batch YAML
* Update Deploy YAML
* Update GroundTruth YAML
* Update Model YAML
* Update Train YAML
* Update WorkTeam YAML
* Updated samples to remove strings
* Update to temporary image
* Remove unnecessary imports
* Update image to newer image
* Update components to python3
* Update bool parser type
* Remove empty ContentType in samples
* Update to temporary image
* Update to version 0.3.1
* Update deploy to login
* Update deploy load config path
* Fix export environment variable in deploy
* Fix env name
* Update deploy reflow env paths
* Add debug config line
* Use username and password directly
* Updated to 0.3.1
* Update field types to JsonObject and JsonArray
2020-05-11 22:06:21 -07:00
Kartik Kalamadi
0259fe50b3
AWS Sagemaker : Use json.dumps() to better organize the input and remove data_locations ( #3518 )
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* construct channel input using json.dumps()
* remover data_location parameters
* add changelog
* Update version in license file and small changes to readme
2020-04-23 12:14:07 -07:00
Redback
2fe8c0de61
[Component] Add VPC Interface Endpoint Support for SageMaker ( #2299 )
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* Added Private Link Components
* Updated Component Dockerfile
* Added endpoint_url to Samples
2019-10-03 18:11:56 -07:00
Redback
12dde375b8
[Component] Add Managed Spot Training Support for SageMaker ( #2219 )
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* Added Spot Instance Support
* Fixed missing output configuration
* Added spot instance support to example pipelines
* Updated image to new repository
2019-10-03 12:11:56 -07:00
carolynwang
69ca3c7e4b
Update images, bug fixes, clean up code ( #1778 )
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* Update docker images and minor refactoring
* Update image tag, bug fixes, remove unneeded imports
* Revert to using image version, use origin batch transform output method
* Forgot to save 2 changes
2019-08-09 15:25:13 -07:00
carolynwang
3f8bcffaa7
Add SageMaker create workteam and Ground Truth components, sample demo pipeline, other minor updates ( #1716 )
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* Add components for workteam and Ground Truth, minor update for HPO and train, add sample pipeline demo for workteam and GT, update images
* Minor style fixes
* Address PR comments
* Refactor for new folder structure
2019-08-05 15:33:50 -07:00
carolynwang
81b0f08a84
Update SageMaker components and sample pipeline ( #1682 )
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* Update HPO, train, batch transform components, add MNIST kmeans with HPO pipeline
* Minor bug fixes
* Minor bug fixes, update Dockerfiles
* Update docker images and sample pipeline
* Update all components and sample pipeline
* Delete Dockerfiles for individual component
* Typo fix in Dockerfile
2019-07-30 12:47:51 -07:00
Jiaxin Shan
5374b6b2b4
Add SageMaker components and example pipeline ( #1276 )
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* Add SageMaker components and example pipeline
* Address review feedbacks
* Expose more training job configs
* Update components/aws/sagemaker/batch_transform/component.yaml
Update components descriptions
Co-Authored-By: Jeffwan <seedjeffwan@gmail.com>
2019-05-03 14:55:37 -07:00