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| |
| <p>SQL functions for support vector machines. |
| <a href="#details">More...</a></p> |
| |
| <p><a href="online__sv_8sql__in_source.html">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
| <tr><td colspan="2"><h2><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">float8 </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><td class="mdescLeft"> </td><td class="mdescRight">Dot product kernel function. <a href="#acc2d778a8eb48ab775ff9c1dff4a3141"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">float8 </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><td class="mdescLeft"> </td><td class="mdescRight">Polynomial kernel function. <a href="#a1ac76fdf9623e0a4db47665f2a80be90"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">float8 </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><td class="mdescLeft"> </td><td class="mdescRight">Gaussian kernel function. <a href="#a9f2a96e1a241ecc66386a78b110777d3"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">void </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><td class="mdescLeft"> </td><td class="mdescRight">Drops all tables pertaining to a model. <a href="#ab54d33f13c0e00faa358e3e3f17c10fb"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">float8 </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a9916305653d464b23ef0fbd78867a654">svm_predict</a> (text model_table, float8[] ind)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates a support-vector model on a given data point. <a href="#a9916305653d464b23ef0fbd78867a654"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_model_pr > </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a883ff4ca340d19a11204b461dd388276">svm_predict_combo</a> (text model_table, float8[] ind)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates multiple support-vector models on a data point. <a href="#a883ff4ca340d19a11204b461dd388276"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_reg_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector regression function. <a href="#acaf1f4aa3eec5710de5c03e368a4b106"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_reg_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector regression function. <a href="#ac5cb9c20d6620b155ac872576a056f2a"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_cls_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector classification function. <a href="#a20a2c8a905be6e922885e23e9dab0a4c"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_cls_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector classification function. <a href="#ad90b6bf3b807f22d37b0e2b1893262f0"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_nd_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector novelty detection function. <a href="#a3448ea62ab57fe4cf177f5fa6b5db7d3"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_nd_result > </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><td class="mdescLeft"> </td><td class="mdescRight">This is the support vector novelty detection function. <a href="#a5bae5335b51e448cd7fb9cb7a54b0bfa"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">text </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><td class="mdescLeft"> </td><td class="mdescRight">Scores the data points stored in a table using a learned support-vector model. <a href="#a91ac71354e9dec74e25339bf168c2e5b"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">void </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><td class="mdescLeft"> </td><td class="mdescRight">Normalizes the data stored in a table, and save the normalized data in a new table. <a href="#a78bb07d8f4aee80c3bbc8e8176e512be"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a75d126981ae4bf2e6641627501f0a2a5">lsvm_classification</a> (text input_table, text model_table, bool parallel)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a75d126981ae4bf2e6641627501f0a2a5"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a50896def00d0e0950bec3d95b387e6b9">lsvm_classification</a> (text input_table, text model_table, bool parallel, bool verbose, float8 eta, float8 reg)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a50896def00d0e0950bec3d95b387e6b9"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">text </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a1c0a002f50250133c0ef1d3c43c6d338">lsvm_predict_batch</a> (text input_table, text data_col, text id_col, text model_table, text output_table, bool parallel)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">Scores the data points stored in a table using a learned linear support-vector model. <a href="#a1c0a002f50250133c0ef1d3c43c6d338"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">float8 </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a5fe084c8364c0657097410458f8ea1e9">lsvm_predict</a> (text model_table, float8[] ind)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates a linear support-vector model on a given data point. <a href="#a5fe084c8364c0657097410458f8ea1e9"></a><br/></td></tr> |
| <tr><td class="memItemLeft" align="right" valign="top">set< svm_model_pr > </td><td class="memItemRight" valign="bottom"><a class="el" href="online__sv_8sql__in.html#a0ae9c50ca072757ff6493a8bf26dbc9c">lsvm_predict_combo</a> (text model_table, float8[] ind)</td></tr> |
| <tr><td class="mdescLeft"> </td><td class="mdescRight">Evaluates multiple linear support-vector models on a data point. <a href="#a0ae9c50ca072757ff6493a8bf26dbc9c"></a><br/></td></tr> |
| </table> |
| <hr/><a name="details" id="details"></a><h2>Detailed Description</h2> |
| <div class="textblock"><dl class="see"><dt><b>See also:</b></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> |
| |
| <p>Definition in file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| </div><hr/><h2>Function Documentation</h2> |
| <a class="anchor" id="a75d126981ae4bf2e6641627501f0a2a5"></a><!-- doxytag: member="online_sv.sql_in::lsvm_classification" ref="a75d126981ae4bf2e6641627501f0a2a5" args="(text input_table, text model_table, bool parallel)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<lsvm_sgd_result> lsvm_classification </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00871">871</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a50896def00d0e0950bec3d95b387e6b9"></a><!-- doxytag: member="online_sv.sql_in::lsvm_classification" ref="a50896def00d0e0950bec3d95b387e6b9" args="(text input_table, text model_table, bool parallel, bool verbose, float8 eta, float8 reg)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<lsvm_sgd_result> lsvm_classification </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>verbose</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>eta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>reg</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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">verbose</td><td>Verbosity of reporting </td></tr> |
| <tr><td class="paramname">eta</td><td>Initial learning rate in (0,1] </td></tr> |
| <tr><td class="paramname">reg</td><td>Regularization parameter, often chosen by cross-validation </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00896">896</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a5fe084c8364c0657097410458f8ea1e9"></a><!-- doxytag: member="online_sv.sql_in::lsvm_predict" ref="a5fe084c8364c0657097410458f8ea1e9" args="(text model_table, float8[] ind)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 lsvm_predict </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">model_table</td><td>The table storing the learned model \( f \) to be used </td></tr> |
| <tr><td class="paramname">ind</td><td>The data point \( \boldsymbol x \) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>This function returns \( f(\boldsymbol x) \) </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00943">943</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a1c0a002f50250133c0ef1d3c43c6d338"></a><!-- doxytag: member="online_sv.sql_in::lsvm_predict_batch" ref="a1c0a002f50250133c0ef1d3c43c6d338" args="(text input_table, text data_col, text id_col, text model_table, text output_table, bool parallel)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">text lsvm_predict_batch </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>data_col</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>id_col</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>output_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>Textual summary of the algorithm run </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00923">923</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a0ae9c50ca072757ff6493a8bf26dbc9c"></a><!-- doxytag: member="online_sv.sql_in::lsvm_predict_combo" ref="a0ae9c50ca072757ff6493a8bf26dbc9c" args="(text model_table, float8[] ind)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_model_pr> lsvm_predict_combo </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">model_table</td><td>The table storing the learned models to be used. </td></tr> |
| <tr><td class="paramname">ind</td><td>The data point \( \boldsymbol x \) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>This function returns a table, a row for each model. Moreover, the last row contains the average value, over all models.</dd></dl> |
| <p>The different models are assumed to be named <code><em>model_table</em>0</code>, <code><em>model_table</em>1</code>, .... </p> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00964">964</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a20a2c8a905be6e922885e23e9dab0a4c"></a><!-- doxytag: member="online_sv.sql_in::svm_classification" ref="a20a2c8a905be6e922885e23e9dab0a4c" args="(text input_table, text model_table, bool parallel, text kernel_func)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_cls_result> svm_classification </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00661">661</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ad90b6bf3b807f22d37b0e2b1893262f0"></a><!-- doxytag: member="online_sv.sql_in::svm_classification" ref="ad90b6bf3b807f22d37b0e2b1893262f0" args="(text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_cls_result> svm_classification </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>verbose</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>eta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>nu</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00688">688</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a78bb07d8f4aee80c3bbc8e8176e512be"></a><!-- doxytag: member="online_sv.sql_in::svm_data_normalization" ref="a78bb07d8f4aee80c3bbc8e8176e512be" args="(text input_table)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void svm_data_normalization </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00851">851</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="acc2d778a8eb48ab775ff9c1dff4a3141"></a><!-- doxytag: member="online_sv.sql_in::svm_dot" ref="acc2d778a8eb48ab775ff9c1dff4a3141" args="(float8[] x, float8[] y)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 svm_dot </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>y</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>Returns dot product of the two data points. </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00424">424</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ab54d33f13c0e00faa358e3e3f17c10fb"></a><!-- doxytag: member="online_sv.sql_in::svm_drop_model" ref="ab54d33f13c0e00faa358e3e3f17c10fb" args="(text model_table)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void svm_drop_model </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">model_table</td><td>The table to be dropped. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00551">551</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9f2a96e1a241ecc66386a78b110777d3"></a><!-- doxytag: member="online_sv.sql_in::svm_gaussian" ref="a9f2a96e1a241ecc66386a78b110777d3" args="(float8[] x, float8[] y, float8 gamma)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 svm_gaussian </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>gamma</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>Returns \( K(\boldsymbol x,\boldsymbol y)=exp(-\gamma || \boldsymbol x \cdot \boldsymbol y ||^2 ) \) </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00448">448</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a3448ea62ab57fe4cf177f5fa6b5db7d3"></a><!-- doxytag: member="online_sv.sql_in::svm_novelty_detection" ref="a3448ea62ab57fe4cf177f5fa6b5db7d3" args="(text input_table, text model_table, bool parallel, text kernel_func)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_nd_result> svm_novelty_detection </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00712">712</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a5bae5335b51e448cd7fb9cb7a54b0bfa"></a><!-- doxytag: member="online_sv.sql_in::svm_novelty_detection" ref="a5bae5335b51e448cd7fb9cb7a54b0bfa" args="(text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_nd_result> svm_novelty_detection </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>verbose</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>eta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>nu</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00739">739</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a1ac76fdf9623e0a4db47665f2a80be90"></a><!-- doxytag: member="online_sv.sql_in::svm_polynomial" ref="a1ac76fdf9623e0a4db47665f2a80be90" args="(float8[] x, float8[] y, float8 degree)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 svm_polynomial </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>y</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>degree</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>Returns \( K(\boldsymbol x,\boldsymbol y)=(\boldsymbol x \cdot \boldsymbol y)^d \) </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00436">436</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9916305653d464b23ef0fbd78867a654"></a><!-- doxytag: member="online_sv.sql_in::svm_predict" ref="a9916305653d464b23ef0fbd78867a654" args="(text model_table, float8[] ind)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 svm_predict </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">model_table</td><td>The table storing the learned model \( f \) to be used </td></tr> |
| <tr><td class="paramname">ind</td><td>The data point \( \boldsymbol x \) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>This function returns \( f(\boldsymbol x) \) </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00565">565</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a91ac71354e9dec74e25339bf168c2e5b"></a><!-- doxytag: member="online_sv.sql_in::svm_predict_batch" ref="a91ac71354e9dec74e25339bf168c2e5b" args="(text input_table, text data_col, text id_col, text model_table, text output_table, bool parallel)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">text svm_predict_batch </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>data_col</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>id_col</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>output_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>Textual summary of the algorithm run </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00766">766</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a883ff4ca340d19a11204b461dd388276"></a><!-- doxytag: member="online_sv.sql_in::svm_predict_combo" ref="a883ff4ca340d19a11204b461dd388276" args="(text model_table, float8[] ind)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_model_pr> svm_predict_combo </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">model_table</td><td>The table storing the learned models to be used. </td></tr> |
| <tr><td class="paramname">ind</td><td>The data point \( \boldsymbol x \) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>This function returns a table, a row for each model. Moreover, the last row contains the average value, over all models.</dd></dl> |
| <p>The different models are assumed to be named <code><em>model_table</em>1</code>, <code><em>model_table</em>2</code>, .... </p> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00586">586</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="acaf1f4aa3eec5710de5c03e368a4b106"></a><!-- doxytag: member="online_sv.sql_in::svm_regression" ref="acaf1f4aa3eec5710de5c03e368a4b106" args="(text input_table, text model_table, bool parallel, text kernel_func)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_reg_result> svm_regression </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00609">609</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ac5cb9c20d6620b155ac872576a056f2a"></a><!-- doxytag: member="online_sv.sql_in::svm_regression" ref="ac5cb9c20d6620b155ac872576a056f2a" args="(text input_table, text model_table, bool parallel, text kernel_func, bool verbose, float8 eta, float8 nu, float8 slambda)" --> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">set<svm_reg_result> svm_regression </td> |
| <td>(</td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>input_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>model_table</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>parallel</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">text </td> |
| <td class="paramname"><em>kernel_func</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>verbose</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>eta</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>nu</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>slambda</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div> |
| <div class="memdoc"> |
| <dl><dt><b>Parameters:</b></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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="return"><dt><b>Returns:</b></dt><dd>A summary of the learning process </dd></dl> |
| |
| <p>Definition at line <a class="el" href="online__sv_8sql__in_source.html#l00637">637</a> of file <a class="el" href="online__sv_8sql__in_source.html">online_sv.sql_in</a>.</p> |
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