We set custom plots in dvc.yaml, but dvc.yaml is not downloaded as part of the get started tutorial's code.zip, so no plots will show for users.
This PR drops dvcyaml=False in code.zip, so that following the tutorial starts with the default dvclive plots. This PR also adds a step in generate.sh to edit the code to add dvcyaml=False and replace with the custom plots so we end up with the same nice-looking plots at the end. We can explain this as an optional step in the docs.
When going through https://dvc.org/doc/start/data-pipelines/metrics-parameters-plots, no plots are generated unless the user manually edits
dvc.yamlbecause we setLive(dvcyaml=False)here:https://github.com/iterative/example-repos-dev/blob/bc47159c46e26f0209b0065c9344376762d91301/example-get-started/code/src/evaluate.py#L103
We set custom plots in
dvc.yaml, butdvc.yamlis not downloaded as part of the get started tutorial'scode.zip, so no plots will show for users.This PR drops
dvcyaml=Falseincode.zip, so that following the tutorial starts with the default dvclive plots. This PR also adds a step ingenerate.shto edit the code to adddvcyaml=Falseand replace with the custom plots so we end up with the same nice-looking plots at the end. We can explain this as an optional step in the docs.