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Releases: microsoft/MLOpsPython

MLOps with Azure ML

24 Mar 17:52
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131681

Model registration tags come from parameters.json (#237)

MLOps with Azure ML

17 Mar 17:48
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Latest Azure ML SDK in the Docker image (#235)

upgrade to  latest aml sdk for build agent

MLOps with Azure ML

16 Mar 20:33
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129507

Add an env var flag to recreate AMLS Environment (#230)

MLOps with Azure ML

15 Mar 17:55
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129243

Added get_latest_model method (#231)

MLOps with Azure ML

12 Mar 21:15
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128836

added abtest.yml to bootstrapping (#233)

MLOps with Azure ML

11 Mar 17:01
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128446

Improve Canary guide and add prerequisites (#225)

MLOps with Azure ML

09 Mar 23:13
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Canary pipeline fixes (#224)

* Add vars template to canary pipeline

* Enable ACR authentication on AKS using a service principal
- Upgrade helm version to 3.1.1
- Remove ACR secret from the abtest-model deployment

MLOps with Azure ML

06 Mar 20:18
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rename config.json to parameters.json (#223)

AML workspace configuration files are named"config.json" by default, so renaming the file containing training parameters to "parameters.json" to avoid confusion.

MLOps with Azure ML

05 Mar 18:09
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README refactor (#220)

* Minor README fixes
- Whitespace fixes
- Grammar fixes
- Ported some wording from Getting Started

* Factor out architecture details to dedicated architecture article
We don't need to go through the architecture in detail here. There's an
entire article dedicated to it. A separate change will be needed for the
article.

* Remove architecture diagram from README

MLOps with Azure ML

05 Mar 16:47
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fix import (#222)

Fix of importing Dataset, Datastore, Workspace