Nirmal, one key thing to worry about is experience for someone getting
started and guide him though even if he does not understand the value set,
feature set etc, and Analysis.
--Srinath

On Sat, Mar 14, 2015 at 7:30 PM, Nirmal Fernando <[email protected]> wrote:

> 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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