No, I don&#39;t have a mix of them. They are all integer values.<br><br>Thanks,<br>Geethmala<br><br><div class="gmail_quote">On Tue, Feb 2, 2010 at 1:59 PM, Yaroslav Halchenko <span dir="ltr">&lt;<a href="mailto:debian@onerussian.com">debian@onerussian.com</a>&gt;</span> wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">it means that<br>
<div class="im"><br>
 Classifier LinearCSVMC(kernel_type=&#39;linear&#39;, svm_impl=&#39;C_SVC&#39;)<br>
 wasn&#39;t trained to classify labels Set([3.0]) present in testing<br>
 dataset. Make sure that you have not mixed order/names of the<br>
 arguments anywhere<br>
<br>
</div>Also test if you don&#39;t have a mix of float and int labels in your<br>
datasets (as I remember you are manually composing those).<br>
<div><div></div><div class="h5"><br>
<br>
On Tue, 02 Feb 2010, Geethmala wrote:<br>
<br>
&gt;    Hi,<br>
&gt;    I get the following warning when I run LinearCSVMC.<br>
&gt;    WARNING: Classifier LinearCSVMC(kernel_type=&#39;linear&#39;, svm_impl=&#39;C_SVC&#39;)<br>
&gt;    wasn&#39;t trained to classify labels Set([3.0]) present in testing<br>
&gt;    dataset. Make sure that you have not mixed order/names of the arguments<br>
&gt;    anywhere<br>
&gt;    What does this warning mean?<br>
&gt;    Thanks,<br>
&gt;    Geethmala<br>
<br>
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<br>
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</blockquote></div><br>