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Sample: model retraining scenario using AI Platform components #1513

Merged
merged 2 commits into from
Jun 19, 2019
Merged

Sample: model retraining scenario using AI Platform components #1513

merged 2 commits into from
Jun 19, 2019

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kweinmeister
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@kweinmeister kweinmeister commented Jun 14, 2019 •
edited by jlewi
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This sample demonstrates how to create a simple Kubeflow pipeline using standard AI Platform components.

The model predicts the number of crime reports expected today, given the daily totals from the previous week. It can illustrate how to do automated model retraining if it is configured as a recurring run in Kubeflow pipelines.

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Hi @kweinmeister. 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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/lgtm
/approve

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: hongye-sun

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/ok-to-test

@k8s-ci-robot k8s-ci-robot merged commit 56134b8 into kubeflow:master Jun 19, 2019
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this pull request Oct 22, 2023
[xgboostserver] Convert list input to numpy array before creating DMa…
a838503 
…trix (kubeflow#1513)

* Convert list to numpy array before creating DMatrix

* Remove numpy dependency
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@animeshsingh animeshsingh Awaiting requested review from animeshsingh

@hongye-sun hongye-sun Awaiting requested review from hongye-sun

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