Your Browser is Out of Date

ShareDemos uses technology that works best in other browsers.
For a full experience use one of the browsers below
Machine Learning Using Red Hat OpenShift Container Platform

view all chapters

Machine learning with Kubeflow
Machine learning with Kubeflow ML workflow

ML workflow

  • A typical ML workflow includes the following steps: data acquisition, data analysis, data preparation, data validation, model building, model training, model validation, training at scale, model inference, and monitoring.

    The following figure shows a sample workflow:

    Figure 2.              Machine learning workflow