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How does this compare against TensorFlow Extended (TFX)? https://www.tensorflow.org/tfx https://www.tensorflow.org/tfx
by dustinhopkins 6y ago
How does this compare against TensorFlow Extended (TFX)?
https://www.tensorflow.org/tfx https://www.tensorflow.org/tfx
- savin-goyal 6y agoMetaflow was built to assist in both developing ML models and deploying/managing them in production. AFAIK, TFX is focused on the deployment story of ML pipelines. https://docs.metaflow.org/introduction/what-is-metaflow#should-i-use-metaflow https://docs.metaflow.org/introduction/what-is-metaflow#shou...
- dustinhopkins 6y agoIt's focused on building ML pipelines (similar to what Cortex aims to be). In addition, it also conveniently supports integration with Orchestrators like Airflow, Kubeflow, Beam etc. This book "Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow" (https://www.amazon.com/dp/1492053198/ref=cm_sw_em_r_mt_dp_Igq4Fb9BK0Q3X https://www.amazon.com/dp/1492053198/ref=cm_sw_em_r_mt_dp_Ig...) goes into great details. I was curious to see what advantage Metaflow offered over TFX.