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	<title>Comments for Neural Market Trends</title>
	<atom:link href="http://www.neuralmarkettrends.com/comments/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.neuralmarkettrends.com</link>
	<description>Rapidminer Evangelism &#38; Consulting</description>
	<lastBuildDate>Thu, 09 Feb 2012 05:42:16 +0000</lastBuildDate>
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		<title>Comment on Tutorials by Vaishak</title>
		<link>http://www.neuralmarkettrends.com/tutorials/comment-page-1/#comment-4138</link>
		<dc:creator>Vaishak</dc:creator>
		<pubDate>Thu, 09 Feb 2012 05:42:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?page_id=62#comment-4138</guid>
		<description>Hello Thomas, 
Your tutorials are really wonderful. I tried using them and they were really helpful. 
I have a small problem at the moment for which I am seeking solution. Any help would be appreciated. 
1) Which would be the best algorithm/operator in rapid miner that could help predict  5 outputs from a set of inputs. 
I have tried using neural nets but id doesnt give me an accuracy as expected. Now I am playing with evolutionary algorithms to help select best inputs for my neural network. 
2) My inputs are not numbers. They are mainly character data type. How can evolutionary algorithm be used to weigh these type of inputs based on a  status attribute (which unlike the gold status in your example has 5 values namely active, terminated, withdraw, pause, dropout)
Regards</description>
		<content:encoded><![CDATA[<p>Hello Thomas,<br />
Your tutorials are really wonderful. I tried using them and they were really helpful.<br />
I have a small problem at the moment for which I am seeking solution. Any help would be appreciated.<br />
1) Which would be the best algorithm/operator in rapid miner that could help predict  5 outputs from a set of inputs.<br />
I have tried using neural nets but id doesnt give me an accuracy as expected. Now I am playing with evolutionary algorithms to help select best inputs for my neural network.<br />
2) My inputs are not numbers. They are mainly character data type. How can evolutionary algorithm be used to weigh these type of inputs based on a  status attribute (which unlike the gold status in your example has 5 values namely active, terminated, withdraw, pause, dropout)<br />
Regards</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Quantmod Package in R by Ajmal</title>
		<link>http://www.neuralmarkettrends.com/2011/02/27/quantmod-package-in-r/comment-page-1/#comment-4137</link>
		<dc:creator>Ajmal</dc:creator>
		<pubDate>Thu, 09 Feb 2012 01:17:55 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2638#comment-4137</guid>
		<description>Hello Sir...

Might be a odd question.. I am just a learning  developer.. how do I install R / Quantmod and use it in PHP..

Or say in a Shared server.. like hostmonster</description>
		<content:encoded><![CDATA[<p>Hello Sir&#8230;</p>
<p>Might be a odd question.. I am just a learning  developer.. how do I install R / Quantmod and use it in PHP..</p>
<p>Or say in a Shared server.. like hostmonster</p>
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	</item>
	<item>
		<title>Comment on LibSVM Learner &#8211; Part I by Tom</title>
		<link>http://www.neuralmarkettrends.com/2007/09/20/libsvm-learner-part-i/comment-page-1/#comment-4129</link>
		<dc:creator>Tom</dc:creator>
		<pubDate>Sun, 05 Feb 2012 18:31:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/2007/09/20/libsvm-learner-part-i/#comment-4129</guid>
		<description>@Hamid: I&#039;m not sure what you&#039;re doing without seeing your datafile and process.  I suggest you visit the Rapid-I forums, they might already have a solution for you.</description>
		<content:encoded><![CDATA[<p>@Hamid: I&#8217;m not sure what you&#8217;re doing without seeing your datafile and process.  I suggest you visit the Rapid-I forums, they might already have a solution for you.</p>
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	</item>
	<item>
		<title>Comment on LibSVM Learner &#8211; Part I by Hamid</title>
		<link>http://www.neuralmarkettrends.com/2007/09/20/libsvm-learner-part-i/comment-page-1/#comment-4127</link>
		<dc:creator>Hamid</dc:creator>
		<pubDate>Sat, 04 Feb 2012 18:21:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/2007/09/20/libsvm-learner-part-i/#comment-4127</guid>
		<description>Hi. I have a question about SVM in rapid miner. I dont know why svm couldn&#039;t create accuracy matrix as k-nn. it just shows root mean square error. what should I do?
I&#039;m working on Text categorization and I have 3 columns. Title,Body and label. Body and title are text and label is numeric.
I used:
read database-&gt;process document-&gt;select attribute-&gt;set role(set label column as label)-&gt; x-validation</description>
		<content:encoded><![CDATA[<p>Hi. I have a question about SVM in rapid miner. I dont know why svm couldn&#8217;t create accuracy matrix as k-nn. it just shows root mean square error. what should I do?<br />
I&#8217;m working on Text categorization and I have 3 columns. Title,Body and label. Body and title are text and label is numeric.<br />
I used:<br />
read database-&gt;process document-&gt;select attribute-&gt;set role(set label column as label)-&gt; x-validation</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Tutorials by irfan</title>
		<link>http://www.neuralmarkettrends.com/tutorials/comment-page-1/#comment-4121</link>
		<dc:creator>irfan</dc:creator>
		<pubDate>Fri, 03 Feb 2012 13:20:32 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?page_id=62#comment-4121</guid>
		<description>thanks a lot mr. thomas ,.. Your tutorial is really great and helpfull.</description>
		<content:encoded><![CDATA[<p>thanks a lot mr. thomas ,.. Your tutorial is really great and helpfull.</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Using SVM Kernels for Time Series Analysis by irfan</title>
		<link>http://www.neuralmarkettrends.com/2012/01/24/using-svm-kernels-for-time-series-analysis/comment-page-1/#comment-4117</link>
		<dc:creator>irfan</dc:creator>
		<pubDate>Wed, 01 Feb 2012 18:25:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2781#comment-4117</guid>
		<description>I would like to take this title in my thesis research &quot;the use algorithm Support Vector Machines (SVM) for modeling the stock market&quot;

allow me to ask for help to complete my research paper, .. or a link or reference that is useful .. regards and thanks</description>
		<content:encoded><![CDATA[<p>I would like to take this title in my thesis research &#8220;the use algorithm Support Vector Machines (SVM) for modeling the stock market&#8221;</p>
<p>allow me to ask for help to complete my research paper, .. or a link or reference that is useful .. regards and thanks</p>
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	<item>
		<title>Comment on Rapidminer Sample Process: Financial Text Mining by Julian</title>
		<link>http://www.neuralmarkettrends.com/2012/01/19/rapidminer-sample-process-financial-text-mining/comment-page-1/#comment-4094</link>
		<dc:creator>Julian</dc:creator>
		<pubDate>Thu, 26 Jan 2012 21:45:24 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2770#comment-4094</guid>
		<description>Hi Tom. I am trying to replicate this creating an Excel file and putting text from html file inside. I will test it with your sample file and see if it works! Thanks!</description>
		<content:encoded><![CDATA[<p>Hi Tom. I am trying to replicate this creating an Excel file and putting text from html file inside. I will test it with your sample file and see if it works! Thanks!</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Using SVM Kernels for Time Series Analysis by Hamid</title>
		<link>http://www.neuralmarkettrends.com/2012/01/24/using-svm-kernels-for-time-series-analysis/comment-page-1/#comment-4087</link>
		<dc:creator>Hamid</dc:creator>
		<pubDate>Wed, 25 Jan 2012 11:57:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2781#comment-4087</guid>
		<description>Very cool!</description>
		<content:encoded><![CDATA[<p>Very cool!</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Rapidminer Sample Process: Financial Text Mining by Joseph</title>
		<link>http://www.neuralmarkettrends.com/2012/01/19/rapidminer-sample-process-financial-text-mining/comment-page-1/#comment-4073</link>
		<dc:creator>Joseph</dc:creator>
		<pubDate>Sat, 21 Jan 2012 16:19:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?p=2770#comment-4073</guid>
		<description>You web looks great!  Just find out about you site and will go over you rapidminer tutorials.</description>
		<content:encoded><![CDATA[<p>You web looks great!  Just find out about you site and will go over you rapidminer tutorials.</p>
]]></content:encoded>
	</item>
	<item>
		<title>Comment on Tutorials by Tom</title>
		<link>http://www.neuralmarkettrends.com/tutorials/comment-page-1/#comment-4067</link>
		<dc:creator>Tom</dc:creator>
		<pubDate>Thu, 19 Jan 2012 18:26:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.neuralmarkettrends.com/?page_id=62#comment-4067</guid>
		<description>Thanks, I&#039;ll try.</description>
		<content:encoded><![CDATA[<p>Thanks, I&#8217;ll try.</p>
]]></content:encoded>
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