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Please note that Model Prediction via Data Transformation is no longer supported by Yellowfin. To find out more about your support options, please review the following support article. For further information please contact support. |
Overview
This transformation step allows data science models created in an H2O cloud instance to be used within Yellowfin, in order to generate predictions or other results. This is done via a transformation step in the data transformation module.
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- You either need access to an instance of H2O or set one up yourself. Then build your data science model in it.
- Install the H2O plug-in in your instance of Yellowfin. You can download this from Yellowfin's Github.
- Use Yellowfin’s data transformation module to create a transformation flow. This involves importing data into the module, and if required applying other transformations to it.
- Use the H2O transformation step in your flow and configure it. Refer to the information below on configuring this step.
- Execute the step to view the output generated by the model using your data.
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