restructure ml overview website page #25607
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@damccorm Hi Danny, I made an additional edit to update the overview page of ML and to include model validation. Please have a look |
damccorm
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Feb 23, 2023
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Could you please add the license to the image file (see https://github.com/apache/beam/blob/master/website/www/site/static/images/ml-workflows.svg?short_path=6c34014 for example)
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| * Consider monitoring and measuring the performance of a pipeline when deploying, because monitoring can provide insight into the status and health of the application. | |||
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| ## Model validation | |||
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| Model validation allows you to benchmark your model’s performance against an unseen dataset. You can extract chosen metrics, create visualizations, log metadata, and compare the performance of different models with the end goal of validating whether your model is ready to deploy. Beam provides support for running model evaluation on a TensorFlow model directly inside your pipeline. | |||
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| Model validation allows you to benchmark your model’s performance against an unseen dataset. You can extract chosen metrics, create visualizations, log metadata, and compare the performance of different models with the end goal of validating whether your model is ready to deploy. Beam provides support for running model evaluation on a TensorFlow model directly inside your pipeline. | |
| Model validation allows you to benchmark your model’s performance against a previously unseen dataset. You can extract chosen metrics, create visualizations, log metadata, and compare the performance of different models with the end goal of validating whether your model is ready to deploy. Beam provides support for running model evaluation on a TensorFlow model directly inside your pipeline. |
Small wording nit
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Thanks, this LGTM other than the 2 small comments |
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Thanks @damccorm. I made the requested changes |
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retest this please |
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(comment is for bot) |
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Run RAT PreCommit |
ruslan-ikhsan
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Mar 10, 2023
* restructure ml overview website page * small edits ML website
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Restructure ML overview website page and add explanation about model validation
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