Re: [Dev] [ML] Introducing new Activation hyper parameter for Deeplearning

2015-08-10 Thread Nirmal Fernando
Hi Thushan,

This is a current limitation of us, ideally we should be able to
accommodate options of a parameter in machine-learner.xml. For now, please
add all the viable options in a tool-tip against the text field.

On Thu, Aug 6, 2015 at 7:27 AM, Thushan Ganegedara thu...@gmail.com wrote:

 Hi all,

 I've changed the machine-learner.xml to accommodate the new Activation
 Type parameter.

 However, I feel it's unwise to let the user type the activation type as a
 string. A combo-box would be more appropriate. There are about six
 different activation types (max out, max out w dropout, tanh, ...)

 But how should I pass these values to parameters.jag to create them on the
 go. One option is to embed them in parameter.jag (buildInput method)

 I would like to know your opinion on this.

 Thank you

 --
 Regards,

 Thushan Ganegedara
 School of IT
 University of Sydney, Australia




-- 

Thanks  regards,
Nirmal

Team Lead - WSO2 Machine Learner
Associate Technical Lead - Data Technologies Team, WSO2 Inc.
Mobile: +94715779733
Blog: http://nirmalfdo.blogspot.com/
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Re: [Dev] [ML] Introducing new Activation hyper parameter for Deeplearning

2015-08-10 Thread Thushan Ganegedara
Hi,

Thank you very much. Yes, I'll do so.

On Tue, Aug 11, 2015 at 1:54 PM, Nirmal Fernando nir...@wso2.com wrote:

 Hi Thushan,

 This is a current limitation of us, ideally we should be able to
 accommodate options of a parameter in machine-learner.xml. For now, please
 add all the viable options in a tool-tip against the text field.

 On Thu, Aug 6, 2015 at 7:27 AM, Thushan Ganegedara thu...@gmail.com
 wrote:

 Hi all,

 I've changed the machine-learner.xml to accommodate the new Activation
 Type parameter.

 However, I feel it's unwise to let the user type the activation type as a
 string. A combo-box would be more appropriate. There are about six
 different activation types (max out, max out w dropout, tanh, ...)

 But how should I pass these values to parameters.jag to create them on
 the go. One option is to embed them in parameter.jag (buildInput method)

 I would like to know your opinion on this.

 Thank you

 --
 Regards,

 Thushan Ganegedara
 School of IT
 University of Sydney, Australia




 --

 Thanks  regards,
 Nirmal

 Team Lead - WSO2 Machine Learner
 Associate Technical Lead - Data Technologies Team, WSO2 Inc.
 Mobile: +94715779733
 Blog: http://nirmalfdo.blogspot.com/





-- 
Regards,

Thushan Ganegedara
School of IT
University of Sydney, Australia
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[Dev] [ML] Introducing new Activation hyper parameter for Deeplearning

2015-08-05 Thread Thushan Ganegedara
Hi all,

I've changed the machine-learner.xml to accommodate the new Activation
Type parameter.

However, I feel it's unwise to let the user type the activation type as a
string. A combo-box would be more appropriate. There are about six
different activation types (max out, max out w dropout, tanh, ...)

But how should I pass these values to parameters.jag to create them on the
go. One option is to embed them in parameter.jag (buildInput method)

I would like to know your opinion on this.

Thank you

-- 
Regards,

Thushan Ganegedara
School of IT
University of Sydney, Australia
___
Dev mailing list
Dev@wso2.org
http://wso2.org/cgi-bin/mailman/listinfo/dev