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Add HTTP/HTTPS support in FE #1339

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merged 2 commits into from
May 20, 2019

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eran-nussbaum
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@eran-nussbaum eran-nussbaum commented May 15, 2019

This change is Reviewable

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Hi @eran-nussbaum. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

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Hi @eran-nussbaum. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

I understand the commands that are listed here.

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

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/ok-to-test

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/lgtm

});
});

it('handles HTTP URL without path', () => {
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nit: HTTPS in test name. Below as well

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Whoops

@rileyjbauer
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Thanks for the work on this!

/lgtm
/approve

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: rileyjbauer

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@k8s-ci-robot k8s-ci-robot merged commit 2da723c into kubeflow:master May 20, 2019
@eran-nussbaum eran-nussbaum deleted the add-http-https-support branch May 20, 2019 07:14
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this pull request Oct 22, 2023
…ubeflow#1339)

* Revert "Result of openapi-gen"

This reverts commit 4ddf01777e3e408e43ae268a20e9411ad242bc04.

* Result of openapi-gen

* Added multiModelServer field in PredictorConfig

* Added IsMMS function

* Added MultiModelServer flags

* Changed flag from string to bool

* Used inference service config to determine if predictor is MMS

* Changed parameter for IsMMSPredictor: client -> inferenceServiceConfig

* Passed correct parameter to IsMMSPredictor

* Added test for IsMMS

* Added test for IsMMSPredictor

* Comment change for clarity

* Added multiModelServer flag to SKLearn V1

* Turned on mms flag for lightgbm
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3 participants