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When running a model training outside AzureML, it would be helpful to still be able to log metrics to AzureML.
The AzureMLLogger class already has the basic functionality to achieve this: it will create a run.
AzureMLLogger
To authenticate:
config.json
The text was updated successfully, but these errors were encountered:
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When running a model training outside AzureML, it would be helpful to still be able to log metrics to AzureML.
The
AzureMLLogger
class already has the basic functionality to achieve this: it will create a run.To authenticate:
config.json
fileThe text was updated successfully, but these errors were encountered: