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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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fa
by • New Contributor III
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How can I view the storage space taken by a registered model using MLFlow?

The information viewed about the registered models on the Models tab is very minimal. Just showing the tags we pass in and version information. How can I get more details about the model such as the size on disk?

Machine Learning
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Octavian1
Contributor
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Hi,I have used the MLFlow client, but I am not sure where to find the size of the model image.The response to client.search_registered_models() I am getting is the following:<RegisteredModel: aliases={}, creation_timestamp=17061..., description='', l...

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db_noob
by • New Contributor II
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Azure - Databricks - account storage gen 2

Hello Every one, i am really new to databricks, just passed my apache developer certification on it.i also have a certification on data engineering with Azure.some fancy words here but i only started doing real deep work on them as i started a person...

Machine Learning
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Debayan
Esteemed Contributor III
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Hi,If we go by the error , Invalid configuration value detected for fs.azure.account.keyStorage account access key to access data using the abfssprotocol cannot be used. Please refer this https://learn.microsoft.com/en-us/azure/databricks/storage/azu...

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espenol
by • New Contributor III
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Why is mounting storage no longer considered best practice?

As the title describes. I think it's really nice to work with mounted storage, but I've typically had an IaC team take care of setting it up. Now I'm not that lucky. Why is it no longer best practice? Security reasons?

Machine Learning
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xiangzhu
Contributor III
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I think so, mount is like a local storage, other users in the same workspace will have the access to any mounted storage too.Access Azure Data Lake Storage Gen2 and Blob Storage | Databricks on AWS

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