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Add e2e tutorial for fraud detection #2550

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merged 1 commit into from
Mar 1, 2024

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lucferbux
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Closes https://issues.redhat.com/browse/RHOAIENG-532

Description

Adding a dashboard tile for the "OpenShift AI tutorial - Fraud detection example" guide.

How Has This Been Tested?

  1. Deploy all the rhoai documentation with oc apply -k manifests/overlays/apps/base/rhoai
  2. Check that there's a new doc in the resources section
Screenshot 2024-03-01 at 12 23 47

Test Impact

No testing required, new resource added, no changes in the codebase

Request review criteria:

Self checklist (all need to be checked):

  • The developer has manually tested the changes and verified that the changes work
  • Commits have been squashed into descriptive, self-contained units of work (e.g. 'WIP' and 'Implements feedback' style messages have been removed)
  • Testing instructions have been added in the PR body (for PRs involving changes that are not immediately obvious).
  • The developer has added tests or explained why testing cannot be added (unit tests & storybook for related changes)

If you have UI changes:

  • Included any necessary screenshots or gifs if it was a UI change.
  • Included tags to the UX team if it was a UI/UX change (find relevant UX in the SMEs section).

After the PR is posted & before it merges:

  • The developer has tested their solution on a cluster by using the image produced by the PR to main

@dpanshug
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dpanshug commented Mar 1, 2024

/retest

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@manaswinidas manaswinidas left a comment

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/lgtm

Tested. Works fine. I can see the new docs with logo and appName

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@dpanshug dpanshug left a comment

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/lgtm

@lucferbux
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Gonna approve to fix the issue that will affect other PRs

@lucferbux
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/approve

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openshift-ci bot commented Mar 1, 2024

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: dpanshug, lucferbux

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@openshift-ci openshift-ci bot added the approved label Mar 1, 2024
@openshift-merge-bot openshift-merge-bot bot merged commit 30442a5 into opendatahub-io:main Mar 1, 2024
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appName: rhoai
type: how-to
description: |-
Use OpenShift AI to develop and train an example model in Jupyter Notebooks, deploy the model, integrate the model into a fraud detection application, and refine the model by using automated pipelines.
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@MelissaFlinn MelissaFlinn Mar 1, 2024

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Can we change the description to:
Use OpenShift AI to train an example model in a Jupyter notebook, deploy the model, integrate the model into a fraud detection application, and refine the model by using automated pipelines.

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4 participants