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pollfly
2022-05-19 09:59:10 +03:00
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6
docs/guides/reporting/explicit_reporting.md
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@@ -9,7 +9,7 @@ example script from ClearML's GitHub repo:
* Setting an output destination for model checkpoints (snapshots).
* Explicitly logging a scalar, other (non-scalar) data, and logging text.
* Registering an artifact, which is uploaded to **ClearML Server**, and ClearML logs changes to it.
* Registering an artifact, which is uploaded to [ClearML Server](../../deploying_clearml/clearml_server.md), and ClearML logs changes to it.
* Uploading an artifact, which is uploaded, but changes to it are not logged.
## Prerequisites
@@ -202,7 +202,7 @@ logger.report_text(
## Step 3: Registering Artifacts
Registering an artifact uploads it to **ClearML Server**, and if it changes, the change is logged in **ClearML Server**.
Registering an artifact uploads it to ClearML Server, and if it changes, the change is logged in ClearML Server.
Currently, ClearML supports Pandas DataFrames as registered artifacts.
### Register the Artifact
@@ -249,7 +249,7 @@ sample = Task.current_task().get_registered_artifacts()['Test_Loss_Correct'].sam
## Step 4: Uploading Artifacts
Artifact can be uploaded to the **ClearML Server**, but changes are not logged.
Artifact can be uploaded to the ClearML Server, but changes are not logged.
Supported artifacts include:
* Pandas DataFrames