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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners by Ekaba Bisong

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© Ekaba Bisong 2019
E. . BisongBuilding Machine Learning and Deep Learning Models on Google Cloud Platformhttps://doi.org/10.1007/978-1-4842-4470-8_47

47. Deploying an End-to-End Machine Learning Solution on Kubeflow Pipelines

Ekaba Bisong1 
(1)
OTTAWA, ON, Canada
 

A Kubeflow pipeline component is an implementation of a pipeline task. A component is a step in the workflow. Each task takes one or more artifacts as input and may produce one or more artifacts as output.

Each component usually includes two parts:
  • Client code: The code that talks to endpoints to submit jobs, for example, code to connect with the Google Cloud Machine Learning Engine.

  • Runtime code: The code that does the actual job and usually runs in the cluster, for example, the code that ...

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