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Simplify sample pipeline input parameters #611
Simplify sample pipeline input parameters #611
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A new image has been built to help with testing out this PR: To use this image run the following: cd $(mktemp -d)
git clone [email protected]:opendatahub-io/data-science-pipelines-operator.git
cd data-science-pipelines-operator/
git fetch origin pull/611/head
git checkout -b pullrequest debdd18dd298287080d3e021568ccf76c6fce2e6
oc new-project opendatahub
make deploy IMG="quay.io/opendatahub/data-science-pipelines-operator:pr-611" More instructions here on how to deploy and test a Data Science Pipelines Application. |
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config/internal/apiserver/sample-pipeline/sample-pipeline.yaml.tmpl
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/lgtm |
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Changes lgtm and since Achyut's also tested them out
/Approve
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: amadhusu, DharmitD The full list of commands accepted by this bot can be found here. The pull request process is described here
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The issue resolved by this Pull Request:
Resolves #annoyance
Description of your changes:
standard_scaler and min_max_scaler were effectivly mutually exclusive, so let's implement them as such to work around the issue with false-y default input params not parsing/instantiating correctly on the kfp UI.
Testing instructions
Deploy DSPO, create a v2 DSPA with
spec.apiServer.enableSamplePipeline
= true. Create a run of the sample pipeline and ensure that all input parameters are populated and you can simply click 'run' without specifying anything else. Extra credit for also setting 'standard_scaler' to false and ensuring pipeline still runs with the MinMaxScaler instead of StandardScalerChecklist