Small edits (#670)

This commit is contained in:
pollfly
2023-09-13 10:58:54 +03:00
committed by GitHub
parent a7954101b4
commit 6a9f3adb4d
9 changed files with 21 additions and 26 deletions

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@@ -42,7 +42,7 @@ Remember ClearML also stores your code environment, making it reproducible. So w
Back to the overview. One of the output types you can add to your task is whats called an artifact.
An artifact can be a lot of things, mostly theyre files like model weights or pandas dataframes containing preprocessed features for example. Our documentation lists all supported data types.
An artifact can be a lot of things, mostly theyre files like model weights or Pandas DataFrames containing preprocessed features for example. Our documentation lists all supported data types.
You can download the artifacts your code produced from the web UI to your local computer if you want to, but artifacts can also be retrieved programmatically.

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@@ -148,7 +148,7 @@ status, it isn't completed this should not happen but. If it is completed, we ar
functions that I won't go deeper into. Basically, they format the dictionary of the state of the task scalars into
markdown that we can actually use. Let me just go into this though one quick time. So we can basically do `Task.get_last_scalar_metrics()`,
and this function is built into ClearML, which basically gives you a dictionary with all the metrics on your task.
We'll just get that formatted into a table, make it into a pandas DataFrame, and then tabulate it with this cool package
We'll just get that formatted into a table, make it into a Pandas DataFrame, and then tabulate it with this cool package
that turns it into MarkDown. So now that we have marked down in the table, we then want to return results table. You can
view the full task. This is basically the comment content we want to be in the comment that will later end up in the PR.
If something else went wrong, we want to log it here. It will also end up in a comment, by the way, so then we know that