Hi Guys I have shared latest markup bundle [1] required for proposed ML changes;
[1] https://drive.google.com/open?id=0B4eoLHAhQ246fjc3ZUV5VE1qUnVYMEJuN1A2OXo5aWxoT3ZRMFZTWVRrS0Fsd0NsRW9OOEk&authuser=0 Lets have a chat so I should be able to explain the flow and discuss next steps/further clarification and changes. *New pages* datasets.html create-dataset.html create-version.html images\icons ico-edit.png css custom-theme.css custom.css ---------------------------- *Updated Pages* projects.html create-project.html Cheers On Mon, Mar 16, 2015 at 8:03 AM, Nirmal Fernando <[email protected]> wrote: > Hi Srinath, > > Noted. Yes, I think we need to consider this when we alter the UI. The > process diagram is mainly targeting the users of the REST API and will see > how it can be improved too. > > On Mon, Mar 16, 2015 at 7:41 AM, Srinath Perera <[email protected]> wrote: > >> 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/ >>> >>> >>> >> >> >> -- >> ============================ >> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera >> Site: http://people.apache.org/~hemapani/ >> Photos: http://www.flickr.com/photos/hemapani/ >> Phone: 0772360902 >> > > > > -- > > Thanks & regards, > Nirmal > > Senior Software Engineer- Platform Technologies Team, WSO2 Inc. > Mobile: +94715779733 > Blog: http://nirmalfdo.blogspot.com/ > > > -- Dhanuka De Silva m: +94 773 887816 e: [email protected] w: http://www.wso2.com
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