Changing Attribute for Classifying

[E_n_r_i_c_O]

Hello,

i need another help from you again.
In the classify i want to change Attribut from (Num) rain_sum as we could see in this pic


into (Nom) device5_wh like this


Can somebody please tell me how i can change the attribute??


Thank you..

[Feras O]

Hi ,

 

what is the name of the algorithm to use Neural Network  in Weka?

 

Regards,

 

Feras

 

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[Peter Reutemann-3]

> what is the name of the algorithm to use Neural Network  in Weka?

weka.classifiers.functions.MultilayerPerceptron

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[Peter Reutemann-3]

> i need another help from you again.
> In the classify i want to change Attribut from (Num) rain_sum as we could
> see in this pic
> http://old.nabble.com/file/p26230856/1.jpg
>
> into (Nom) device5_wh like this
> http://old.nabble.com/file/p26230856/2.jpg
>
> Can somebody please tell me how i can change the attribute??

I'm not quite sure what your problem is (if it's not about selecting a
different attribute from a combobox)...

Are you trying to change the class attribute from your own code? If
so, use the "setClassIndex(int)" method of the weka.core.Instances
class.

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[E_n_r_i_c_O]

Some parts of this message have been removed. Learn more about Nabble's security policy.

Hello Peter,

Thank you for your fast answer.

Now it worked just like i wanted.

bye,

Enrico


 
 

> From: fracpete@...
> Date: Sat, 7 Nov 2009 10:13:18 +1300
> Subject: Re: [Wekalist] Changing Attribute for Classifying
> To: wekalist@...
>
> > i need another help from you again.
> > In the classify i want to change Attribut from (Num) rain_sum as we could
> > see in this pic
> > http://old.nabble.com/file/p26230856/1.jpg
> >
> > into (Nom) device5_wh like this
> > http://old.nabble.com/file/p26230856/2.jpg
> >
> > Can somebody please tell me how i can change the attribute??
>
> I'm not quite sure what your problem is (if it's not about selecting a
> different attribute from a combobox)...
>
> Are you trying to change the class attribute from your own code? If
> so, use the "setClassIndex(int)" method of the weka.core.Instances
> class.
>
> Cheers, Peter
> --
> Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
> http://www.cs.waikato.ac.nz/~fracpete/ Ph. [phone]
>
> _______________________________________________
> Wekalist mailing list
> Send posts to: Wekalist@...
> List info and subscription status: https://list.scms.waikato.ac.nz/mailman/listinfo/wekalist
> List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html

---

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[E_n_r_i_c_O]

Hello Peter,

Thank you for your fast answer.

Now it worked just like i wanted.



bye,


Enrico

[Feras O]

Thanks Peter, you are doing a great job

 

Feras

--- On Fri, 11/6/09, Peter Reutemann <fracpete@...> wrote:

From: Peter Reutemann <fracpete@...>
Subject: Re: [Wekalist] Neural Network implementation in Weka
To: "Weka machine learning workbench list." <wekalist@...>
Date: Friday, November 6, 2009, 5:10 PM

> what is the name of the algorithm to use Neural Network  in Weka?

weka.classifiers.functions.MultilayerPerceptron

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[Feras O]

 

Hi,

 

I am just wondering to how to get the information gain or gain ratio using weka. If there is any example explaining that being applied on arff files such Iris data or whatever will be very helpful.

 

I need to integrate this code if available within my codes

 

Cheers,

 

Feras

 

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[Peter Reutemann-3]

> I am just wondering to how to get the information gain or gain ratio using weka. If there is any example explaining that being applied on arff files such Iris data or whatever will be very helpful.
>
> I need to integrate this code if available within my codes

info gain:
You could probably (ab-)use the
weka.attributeSelection.InfoGainAttributeEval class for that.

gain ratio:
The weka.core.ContingencyTables class has some code for computing the
gain ratio.

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[Feras O]

Hi Peter,

 

I was able to get the information gain for each attribute in Weka, Thanks.

 

Only one question remains:

Is there a possibilty to get the weight for each attribute in each class?

 

Info gain get the weight or the improtance for attribute in the whole dataset, but what about if we need to know the importance or weight for each attribute in each class?

 

Thanks,

 

Feras

 

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[Peter Reutemann-3]

> I was able to get the information gain for each attribute in Weka, Thanks.

OK.

> Only one question remains:
> Is there a possibilty to get the weight for each attribute in each class?
>
> Info gain get the weight or the improtance for attribute in the whole dataset, but what about if we need to know the importance or weight for each attribute in each class?

No idea.

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[Mark Hall-9]

On 25/11/09 4:46 AM, Feras wrote:
>
> Hi Peter,
> I was able to get the information gain for each attribute in Weka, Thanks.
> Only one question remains:
> Is there a possibilty to get the weight for each attribute in each class?
> Info gain get the weight or the improtance for attribute in the whole
> dataset, but what about if we need to know the importance or weight for
> each attribute in each class?

You would need to compute the entropy and/or gain for this on a per class basis
yourself.

Cheers,
Mark.


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[Feras O]

You would need to compute the entropy and/or gain for this on a per class basis
yourself.

 Cheers,
Mark.

Hi Mark,

 

Any idea how? is it possible to send me one line of code

cheers,

 

Feras

--- On Tue, 11/24/09, Mark Hall <mhall@...> wrote:

From: Mark Hall <mhall@...>
Subject: Re: [Wekalist] Calculation of Information gain in weka.
To: "Weka machine learning workbench list." <wekalist@...>
Date: Tuesday, November 24, 2009, 3:38 PM

On 25/11/09 4:46 AM, Feras wrote:
>
> Hi Peter,
> I was able to get the information gain for each attribute in Weka, Thanks.
> Only one question remains:
> Is there a possibilty to get the weight for each attribute in each class?
> Info gain get the weight or the improtance for attribute in the whole
> dataset, but what about if we need to know the importance or weight for
> each attribute in each class?

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