Hi All, Please find the model generation process of WSO2 ML as a diagram below [1]. Model Generation is one of the key use-cases of WSO2 ML. Model Generation
When you login to the WSO2 ML, you will be redirected to a page where you can see two main entities of WSO2 ML, namely, Datasets and Projects. When you navigate to the Projects, you could see all the Analyses created for that project. Analysis is a workflow created to cover the full machine learning pipeline from data extraction to model generation. When you create a new Analysis, you could see all the available Value-sets for the logged-in user. You pick a Value set and start the process of analysing that Value-set. Then you will be navigated to the data extraction interface, where you are getting a chance, either to pick an existing customized feature-set or to create a new customized feature-set. Once you have picked a feature-set, you could provide the model configuration. Based on the model configuration, now you could calibrate the corresponding hyper parameters. Once you have a value-set, customized feature-set, a model configuration and a calibrated set of hyper-parameters, you could generate a ML model. [1] -- Thanks & regards, Nirmal Senior Software Engineer- Platform Technologies Team, WSO2 Inc. Mobile: +94715779733 Blog: http://nirmalfdo.blogspot.com/
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