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<a href="#func-members">Functions</a> </div>
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<div class="title">online_sv.sql_in File Reference</div> </div>
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<p>SQL functions for support vector machines.
<a href="#details">More...</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:acc2d778a8eb48ab775ff9c1dff4a3141"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#acc2d778a8eb48ab775ff9c1dff4a3141">svm_dot</a> (float8[] x, float8[] y)</td></tr>
<tr class="memdesc:acc2d778a8eb48ab775ff9c1dff4a3141"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dot product kernel function. <a href="#acc2d778a8eb48ab775ff9c1dff4a3141">More...</a><br /></td></tr>
<tr class="separator:acc2d778a8eb48ab775ff9c1dff4a3141"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab53cac5790dafd7230359e08c72af4f1"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ab53cac5790dafd7230359e08c72af4f1">svm_dot</a> (float8[] x, float8[] y, float8 placeholder)</td></tr>
<tr class="separator:ab53cac5790dafd7230359e08c72af4f1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ac76fdf9623e0a4db47665f2a80be90"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a1ac76fdf9623e0a4db47665f2a80be90">svm_polynomial</a> (float8[] x, float8[] y, float8 degree)</td></tr>
<tr class="memdesc:a1ac76fdf9623e0a4db47665f2a80be90"><td class="mdescLeft">&#160;</td><td class="mdescRight">Polynomial kernel function. <a href="#a1ac76fdf9623e0a4db47665f2a80be90">More...</a><br /></td></tr>
<tr class="separator:a1ac76fdf9623e0a4db47665f2a80be90"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9f2a96e1a241ecc66386a78b110777d3"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a9f2a96e1a241ecc66386a78b110777d3">svm_gaussian</a> (float8[] x, float8[] y, float8 gamma)</td></tr>
<tr class="memdesc:a9f2a96e1a241ecc66386a78b110777d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Gaussian kernel function. <a href="#a9f2a96e1a241ecc66386a78b110777d3">More...</a><br /></td></tr>
<tr class="separator:a9f2a96e1a241ecc66386a78b110777d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5988c209ceb6d15b9139eef0c16d7b7d"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a5988c209ceb6d15b9139eef0c16d7b7d">svm_predict_sub</a> (int, int, float8[], float8[], float8[], text, float8)</td></tr>
<tr class="separator:a5988c209ceb6d15b9139eef0c16d7b7d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adc8c1c1d5e2deb20f5436790468b052f"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#adc8c1c1d5e2deb20f5436790468b052f">svm_predict</a> (svm_model_rec svs, float8[] ind, text kernel, float8 kernel_param)</td></tr>
<tr class="separator:adc8c1c1d5e2deb20f5436790468b052f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0eb68a44edff3fa53891a6a39de61e57"><td class="memItemLeft" align="right" valign="top">svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a0eb68a44edff3fa53891a6a39de61e57">svm_reg_update</a> (svm_model_rec svs, float8[] ind, float8 label, text kernel, float8 eta, float8 nu, float8 slambda, float8 kernel_param)</td></tr>
<tr class="separator:a0eb68a44edff3fa53891a6a39de61e57"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a225bdb74eaa687cef0ddbb35145318fc"><td class="memItemLeft" align="right" valign="top">aggregate svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a225bdb74eaa687cef0ddbb35145318fc">svm_reg_agg</a> (float8[], float8, text, float8, float8, float8, float8)</td></tr>
<tr class="separator:a225bdb74eaa687cef0ddbb35145318fc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a837bd8cfd5f3200e985febf0ff7ec013"><td class="memItemLeft" align="right" valign="top">svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a837bd8cfd5f3200e985febf0ff7ec013">svm_cls_update</a> (svm_model_rec svs, float8[] ind, float8 label, text kernel, float8 eta, float8 nu, float8 kernel_param)</td></tr>
<tr class="separator:a837bd8cfd5f3200e985febf0ff7ec013"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4fd5a4571d959a892ab28dab1fea92f3"><td class="memItemLeft" align="right" valign="top">aggregate svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a4fd5a4571d959a892ab28dab1fea92f3">svm_cls_agg</a> (float8[], float8, text, float8, float8, float8)</td></tr>
<tr class="separator:a4fd5a4571d959a892ab28dab1fea92f3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae6aef7b5654b6da487d0178adf443ee9"><td class="memItemLeft" align="right" valign="top">svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ae6aef7b5654b6da487d0178adf443ee9">svm_nd_update</a> (svm_model_rec svs, float8[] ind, text kernel, float8 eta, float8 nu, float8 kernel_param)</td></tr>
<tr class="separator:ae6aef7b5654b6da487d0178adf443ee9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9e0abf5bf91bd0833bf80b9d9a5ae8bf"><td class="memItemLeft" align="right" valign="top">aggregate svm_model_rec&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a9e0abf5bf91bd0833bf80b9d9a5ae8bf">svm_nd_agg</a> (float8[], text, float8, float8, float8)</td></tr>
<tr class="separator:a9e0abf5bf91bd0833bf80b9d9a5ae8bf"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad2cd899daaa2036b475f71c28cc031ae"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ad2cd899daaa2036b475f71c28cc031ae">svm_store_model</a> (text model_temp_table, text model_name, text model_table)</td></tr>
<tr class="separator:ad2cd899daaa2036b475f71c28cc031ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab54d33f13c0e00faa358e3e3f17c10fb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ab54d33f13c0e00faa358e3e3f17c10fb">svm_drop_model</a> (text model_table)</td></tr>
<tr class="memdesc:ab54d33f13c0e00faa358e3e3f17c10fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Drops all tables pertaining to a model. <a href="#ab54d33f13c0e00faa358e3e3f17c10fb">More...</a><br /></td></tr>
<tr class="separator:ab54d33f13c0e00faa358e3e3f17c10fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acaf1f4aa3eec5710de5c03e368a4b106"><td class="memItemLeft" align="right" valign="top">set&lt; svm_reg_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#acaf1f4aa3eec5710de5c03e368a4b106">svm_regression</a> (text input_table, text model_table, bool parallel, text kernel_func)</td></tr>
<tr class="memdesc:acaf1f4aa3eec5710de5c03e368a4b106"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector regression function. <a href="#acaf1f4aa3eec5710de5c03e368a4b106">More...</a><br /></td></tr>
<tr class="separator:acaf1f4aa3eec5710de5c03e368a4b106"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adf8476bf068d056924d39092d634579c"><td class="memItemLeft" align="right" valign="top">set&lt; svm_reg_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#adf8476bf068d056924d39092d634579c">svm_regression</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu, float8 slambda, float8 kernel_param)</td></tr>
<tr class="memdesc:adf8476bf068d056924d39092d634579c"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector regression function. <a href="#adf8476bf068d056924d39092d634579c">More...</a><br /></td></tr>
<tr class="separator:adf8476bf068d056924d39092d634579c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac5cb9c20d6620b155ac872576a056f2a"><td class="memItemLeft" align="right" valign="top">set&lt; svm_reg_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ac5cb9c20d6620b155ac872576a056f2a">svm_regression</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu, float8 slambda)</td></tr>
<tr class="memdesc:ac5cb9c20d6620b155ac872576a056f2a"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector regression function. <a href="#ac5cb9c20d6620b155ac872576a056f2a">More...</a><br /></td></tr>
<tr class="separator:ac5cb9c20d6620b155ac872576a056f2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a892d973661d6ba5ffe9285586bd603db"><td class="memItemLeft" align="right" valign="top">set&lt; svm_cls_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a892d973661d6ba5ffe9285586bd603db">svm_classification</a> (text input_table, text model_table, bool parallel, text kernel_func, float8 kernel_param)</td></tr>
<tr class="memdesc:a892d973661d6ba5ffe9285586bd603db"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector classification function. <a href="#a892d973661d6ba5ffe9285586bd603db">More...</a><br /></td></tr>
<tr class="separator:a892d973661d6ba5ffe9285586bd603db"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a20a2c8a905be6e922885e23e9dab0a4c"><td class="memItemLeft" align="right" valign="top">set&lt; svm_cls_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a20a2c8a905be6e922885e23e9dab0a4c">svm_classification</a> (text input_table, text model_table, bool parallel, text kernel_func)</td></tr>
<tr class="separator:a20a2c8a905be6e922885e23e9dab0a4c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a52da1e1da56f9eb9998f84af29623644"><td class="memItemLeft" align="right" valign="top">set&lt; svm_cls_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a52da1e1da56f9eb9998f84af29623644">svm_classification</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu, float8 kernel_param)</td></tr>
<tr class="memdesc:a52da1e1da56f9eb9998f84af29623644"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector classification function. <a href="#a52da1e1da56f9eb9998f84af29623644">More...</a><br /></td></tr>
<tr class="separator:a52da1e1da56f9eb9998f84af29623644"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad90b6bf3b807f22d37b0e2b1893262f0"><td class="memItemLeft" align="right" valign="top">set&lt; svm_cls_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ad90b6bf3b807f22d37b0e2b1893262f0">svm_classification</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu)</td></tr>
<tr class="separator:ad90b6bf3b807f22d37b0e2b1893262f0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3448ea62ab57fe4cf177f5fa6b5db7d3"><td class="memItemLeft" align="right" valign="top">set&lt; svm_nd_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a3448ea62ab57fe4cf177f5fa6b5db7d3">svm_novelty_detection</a> (text input_table, text model_table, bool parallel, text kernel_func)</td></tr>
<tr class="memdesc:a3448ea62ab57fe4cf177f5fa6b5db7d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector novelty detection function. <a href="#a3448ea62ab57fe4cf177f5fa6b5db7d3">More...</a><br /></td></tr>
<tr class="separator:a3448ea62ab57fe4cf177f5fa6b5db7d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a75b773bcf4b5242c673d0e54128ed159"><td class="memItemLeft" align="right" valign="top">set&lt; svm_nd_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a75b773bcf4b5242c673d0e54128ed159">svm_novelty_detection</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu, float8 kernel_param)</td></tr>
<tr class="memdesc:a75b773bcf4b5242c673d0e54128ed159"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector novelty detection function. <a href="#a75b773bcf4b5242c673d0e54128ed159">More...</a><br /></td></tr>
<tr class="separator:a75b773bcf4b5242c673d0e54128ed159"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5bae5335b51e448cd7fb9cb7a54b0bfa"><td class="memItemLeft" align="right" valign="top">set&lt; svm_nd_result &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a5bae5335b51e448cd7fb9cb7a54b0bfa">svm_novelty_detection</a> (text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu)</td></tr>
<tr class="memdesc:a5bae5335b51e448cd7fb9cb7a54b0bfa"><td class="mdescLeft">&#160;</td><td class="mdescRight">This is the support vector novelty detection function. <a href="#a5bae5335b51e448cd7fb9cb7a54b0bfa">More...</a><br /></td></tr>
<tr class="separator:a5bae5335b51e448cd7fb9cb7a54b0bfa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a91ac71354e9dec74e25339bf168c2e5b"><td class="memItemLeft" align="right" valign="top">text&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a91ac71354e9dec74e25339bf168c2e5b">svm_predict_batch</a> (text input_table, text data_col, text id_col, text model_table, text output_table, bool parallel)</td></tr>
<tr class="memdesc:a91ac71354e9dec74e25339bf168c2e5b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Scores the data points stored in a table using a learned support-vector model. <a href="#a91ac71354e9dec74e25339bf168c2e5b">More...</a><br /></td></tr>
<tr class="separator:a91ac71354e9dec74e25339bf168c2e5b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1dc40f2607434e3df8f6fa583676a2a4"><td class="memItemLeft" align="right" valign="top">float8[]&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a1dc40f2607434e3df8f6fa583676a2a4">__svm_random_ind</a> (int d)</td></tr>
<tr class="separator:a1dc40f2607434e3df8f6fa583676a2a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aad5312d437c151842cae525380882755"><td class="memItemLeft" align="right" valign="top">float8[]&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#aad5312d437c151842cae525380882755">__svm_random_ind2</a> (int d)</td></tr>
<tr class="separator:aad5312d437c151842cae525380882755"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adc9fe3f9b4a04dff13004edbaab8240f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#adc9fe3f9b4a04dff13004edbaab8240f">svm_generate_reg_data</a> (text output_table, int num, int dim)</td></tr>
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<tr class="memitem:ae861516ef0c8ad4926061297ff2b2f31"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ae861516ef0c8ad4926061297ff2b2f31">__svm_target_reg_func</a> (float8[] ind)</td></tr>
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<tr class="memitem:a1cf6d0632772caf6643212a4698d2507"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a1cf6d0632772caf6643212a4698d2507">svm_generate_cls_data</a> (text output_table, int num, int dim)</td></tr>
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<tr class="memitem:ae328001913d6a57598df43e93f18898a"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#ae328001913d6a57598df43e93f18898a">__svm_target_cl_func</a> (float8[] ind)</td></tr>
<tr class="separator:ae328001913d6a57598df43e93f18898a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8be25cfa6134cc12bbc6d31c04712c23"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a8be25cfa6134cc12bbc6d31c04712c23">svm_generate_nd_data</a> (text output_table, int num, int dim)</td></tr>
<tr class="separator:a8be25cfa6134cc12bbc6d31c04712c23"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a78bb07d8f4aee80c3bbc8e8176e512be"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a78bb07d8f4aee80c3bbc8e8176e512be">svm_data_normalization</a> (text input_table)</td></tr>
<tr class="memdesc:a78bb07d8f4aee80c3bbc8e8176e512be"><td class="mdescLeft">&#160;</td><td class="mdescRight">Normalizes the data stored in a table, and save the normalized data in a new table. <a href="#a78bb07d8f4aee80c3bbc8e8176e512be">More...</a><br /></td></tr>
<tr class="separator:a78bb07d8f4aee80c3bbc8e8176e512be"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><dl class="section see"><dt>See also</dt><dd>For an introduction to Support vector machines (SVMs) and related kernel methods, see the module description <a class="el" href="group__grp__kernmach.html">Support Vector Machines</a>. </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
<a class="anchor" id="a1dc40f2607434e3df8f6fa583676a2a4"></a>
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<td class="memname">float8 [] __svm_random_ind </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>d</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<td class="memname">float8 [] __svm_random_ind2 </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>d</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<td class="memname">float8 __svm_target_cl_func </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<td class="memname">float8 __svm_target_reg_func </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<td class="memname">set&lt;svm_cls_result&gt; svm_classification </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
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<td class="memname">set&lt;svm_cls_result&gt; svm_classification </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
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<td class="memname">set&lt;svm_cls_result&gt; svm_classification </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
<tr><td class="paramname">verbose</td><td>Verbosity of reporting </td></tr>
<tr><td class="paramname">eta</td><td>Learning rate in (0,1] </td></tr>
<tr><td class="paramname">nu</td><td>Compression parameter in (0,1] associated with the fraction of training data that will become support vectors </td></tr>
<tr><td class="paramname">kernel_param</td><td>Default parameter for kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
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<td class="memname">set&lt;svm_cls_result&gt; svm_classification </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
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</div>
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<td class="memname">aggregate svm_model_rec svm_cls_agg </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="a837bd8cfd5f3200e985febf0ff7ec013"></a>
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<td class="memname">svm_model_rec svm_cls_update </td>
<td>(</td>
<td class="paramtype">svm_model_rec&#160;</td>
<td class="paramname"><em>svs</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>label</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
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</div>
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<td class="memname">void svm_data_normalization </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>Name of table/view containing the data points to be scored </td></tr>
</table>
</dd>
</dl>
</div>
</div>
<a class="anchor" id="acc2d778a8eb48ab775ff9c1dff4a3141"></a>
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<td class="memname">float8 svm_dot </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>y</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">x</td><td>The data point \( \boldsymbol x \) </td></tr>
<tr><td class="paramname">y</td><td>The data point \( \boldsymbol y \) </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns dot product of the two data points. </dd></dl>
</div>
</div>
<a class="anchor" id="ab53cac5790dafd7230359e08c72af4f1"></a>
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<td class="memname">float8 svm_dot </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>placeholder</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="ab54d33f13c0e00faa358e3e3f17c10fb"></a>
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<td class="memname">void svm_drop_model </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">model_table</td><td>The table to be dropped. </td></tr>
</table>
</dd>
</dl>
</div>
</div>
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<td class="memname">float8 svm_gaussian </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>gamma</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">x</td><td>The data point \( \boldsymbol x \) </td></tr>
<tr><td class="paramname">y</td><td>The data point \( \boldsymbol y \) </td></tr>
<tr><td class="paramname">gamma</td><td>The spread \( \gamma \) </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns \( K(\boldsymbol x,\boldsymbol y)=exp(-\gamma || \boldsymbol x \cdot \boldsymbol y ||^2 ) \) </dd></dl>
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<td class="memname">void svm_generate_cls_data </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>num</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dim</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
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</div>
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<td class="memname">void svm_generate_nd_data </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>num</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dim</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<td class="memname">void svm_generate_reg_data </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>num</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dim</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="a9e0abf5bf91bd0833bf80b9d9a5ae8bf"></a>
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<td class="memname">aggregate svm_model_rec svm_nd_agg </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="ae6aef7b5654b6da487d0178adf443ee9"></a>
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<td class="memname">svm_model_rec svm_nd_update </td>
<td>(</td>
<td class="paramtype">svm_model_rec&#160;</td>
<td class="paramname"><em>svs</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="a3448ea62ab57fe4cf177f5fa6b5db7d3"></a>
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<td class="memname">set&lt;svm_nd_result&gt; svm_novelty_detection </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="a75b773bcf4b5242c673d0e54128ed159"></a>
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<td class="memname">set&lt;svm_nd_result&gt; svm_novelty_detection </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
<tr><td class="paramname">verbose</td><td>Verbosity of reporting </td></tr>
<tr><td class="paramname">eta</td><td>Learning rate in (0,1] </td></tr>
<tr><td class="paramname">nu</td><td>Compression parameter in (0,1] associated with the fraction of training data that will become support vectors </td></tr>
<tr><td class="paramname">kernel_param</td><td>Default parameter for kernel function </td></tr>
<tr><td class="paramname">kernel_param</td><td></td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="a5bae5335b51e448cd7fb9cb7a54b0bfa"></a>
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<td class="memname">set&lt;svm_nd_result&gt; svm_novelty_detection </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
<tr><td class="paramname">verbose</td><td>Verbosity of reporting </td></tr>
<tr><td class="paramname">eta</td><td>Learning rate in (0,1] </td></tr>
<tr><td class="paramname">nu</td><td>Compression parameter in (0,1] associated with the fraction of training data that will become support vectors </td></tr>
<tr><td class="paramname">kernel_param</td><td>Default parameter for kernel function </td></tr>
<tr><td class="paramname">kernel_param</td><td></td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="a1ac76fdf9623e0a4db47665f2a80be90"></a>
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<td class="memname">float8 svm_polynomial </td>
<td>(</td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>x</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>y</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>degree</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">x</td><td>The data point \( \boldsymbol x \) </td></tr>
<tr><td class="paramname">y</td><td>The data point \( \boldsymbol y \) </td></tr>
<tr><td class="paramname">degree</td><td>The degree \( d \) </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns \( K(\boldsymbol x,\boldsymbol y)=(\boldsymbol x \cdot \boldsymbol y)^d \) </dd></dl>
</div>
</div>
<a class="anchor" id="adc8c1c1d5e2deb20f5436790468b052f"></a>
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<td class="memname">float8 svm_predict </td>
<td>(</td>
<td class="paramtype">svm_model_rec&#160;</td>
<td class="paramname"><em>svs</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="a91ac71354e9dec74e25339bf168c2e5b"></a>
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<td class="memname">text svm_predict_batch </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>data_col</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>id_col</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>Name of table/view containing the data points to be scored </td></tr>
<tr><td class="paramname">data_col</td><td>Name of column in input_table containing the data points </td></tr>
<tr><td class="paramname">id_col</td><td>Name of column in input_table containing the integer identifier of data points </td></tr>
<tr><td class="paramname">model_table</td><td>Name of table where the learned model to be used is stored </td></tr>
<tr><td class="paramname">output_table</td><td>Name of table to store the results </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the model to be used was learned in parallel </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Textual summary of the algorithm run </dd></dl>
</div>
</div>
<a class="anchor" id="a5988c209ceb6d15b9139eef0c16d7b7d"></a>
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<td class="memname">float8 svm_predict_sub </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
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<table class="memname">
<tr>
<td class="memname">aggregate svm_model_rec svm_reg_agg </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="a0eb68a44edff3fa53891a6a39de61e57"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">svm_model_rec svm_reg_update </td>
<td>(</td>
<td class="paramtype">svm_model_rec&#160;</td>
<td class="paramname"><em>svs</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8[]&#160;</td>
<td class="paramname"><em>ind</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>label</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>slambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a class="anchor" id="acaf1f4aa3eec5710de5c03e368a4b106"></a>
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<td class="memname">set&lt;svm_reg_result&gt; svm_regression </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="adf8476bf068d056924d39092d634579c"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">set&lt;svm_reg_result&gt; svm_regression </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>slambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>kernel_param</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
<tr><td class="paramname">verbose</td><td>Verbosity of reporting </td></tr>
<tr><td class="paramname">eta</td><td>Learning rate in (0,1] </td></tr>
<tr><td class="paramname">nu</td><td>Compression parameter in (0,1] associated with the fraction of training data that will become support vectors </td></tr>
<tr><td class="paramname">slambda</td><td>Regularisation parameter </td></tr>
<tr><td class="paramname">kernel_param</td><td>Default parameter for kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="ac5cb9c20d6620b155ac872576a056f2a"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">set&lt;svm_reg_result&gt; svm_regression </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>input_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>parallel</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>kernel_func</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bool&#160;</td>
<td class="paramname"><em>verbose</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>nu</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>slambda</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">input_table</td><td>The name of the table/view with the training data </td></tr>
<tr><td class="paramname">model_table</td><td>The name of the table under which we want to store the learned model </td></tr>
<tr><td class="paramname">parallel</td><td>A flag indicating whether the system should learn multiple models in parallel </td></tr>
<tr><td class="paramname">kernel_func</td><td>Kernel function </td></tr>
<tr><td class="paramname">verbose</td><td>Verbosity of reporting </td></tr>
<tr><td class="paramname">eta</td><td>Learning rate in (0,1] </td></tr>
<tr><td class="paramname">nu</td><td>Compression parameter in (0,1] associated with the fraction of training data that will become support vectors </td></tr>
<tr><td class="paramname">slambda</td><td>Regularisation parameter </td></tr>
<tr><td class="paramname">kernel_param</td><td>Default parameter for kernel function </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>A summary of the learning process </dd></dl>
</div>
</div>
<a class="anchor" id="ad2cd899daaa2036b475f71c28cc031ae"></a>
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<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void svm_store_model </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_temp_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_name</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_table</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
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