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Add additional step to pipeline to generate a metrics report #241
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@tumido updated the PR to use PVC's instead of interim output artifacts. |
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I have one last suggestion, otherwise LGTM. 👍 🙌
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It seems like you've forgot to include pipeline.py
changes after rebase. As a result, the pvc_to_mt_bench_branch_op
and pvc_to_mmlu_branch_op
tasks are not used at all.
Signed-off-by: Michael Clifford <[email protected]>
Signed-off-by: Michael Clifford <[email protected]>
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Sorry to be annoying, just 2 last nits... otherwise LGTM 🙂 🙌
Signed-off-by: Michael Clifford <[email protected]>
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output_mmlu_branch_task, | ||
output_mt_bench_branch_task, | ||
generate_metrics_report_task, |
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I'm sorry to be so stubborn here. 😄 I still think this is not a correct list of dependencies. I think it should be:
output_mmlu_branch_task, | |
output_mt_bench_branch_task, | |
generate_metrics_report_task, | |
output_model_task, | |
output_mt_bench_task, | |
output_mmlu_branch_task, | |
output_mt_bench_branch_task, | |
generate_metrics_report_task, |
This PR adds a new step to the end of the pipeline,
generate_metrics_report_op
. The purpose of this step is to create a number of kfpMertic
artifacts that can help users easily compare the performance between different runs using thecompare runs
feature of the Data Science Pipeline UI.