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| <div class="title">lsvm.sql_in File Reference</div> </div> |
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| |
| <p>SQL functions for linear 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:a6f26e0007d7d95b4bb4b72db4f702b25"><td class="memItemLeft" align="right" valign="top">float8[] </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a6f26e0007d7d95b4bb4b72db4f702b25">linear_svm_igd_transition</a> (float8[] state, float8[] ind_var, boolean dep_var, float8[] previous_state, integer dimension, float8 stepsize, float8 reg)</td></tr> |
| <tr class="separator:a6f26e0007d7d95b4bb4b72db4f702b25"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a241eea31c78737ecbb5da6639debec3b"><td class="memItemLeft" align="right" valign="top">float8[] </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a241eea31c78737ecbb5da6639debec3b">linear_svm_igd_merge</a> (float8[] state1, float8[] state2)</td></tr> |
| <tr class="separator:a241eea31c78737ecbb5da6639debec3b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a614936d27848149eead4581db57a9236"><td class="memItemLeft" align="right" valign="top">float8[] </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a614936d27848149eead4581db57a9236">linear_svm_igd_final</a> (float8[] state)</td></tr> |
| <tr class="separator:a614936d27848149eead4581db57a9236"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a027f40b148849a721001d20f098a4a0e"><td class="memItemLeft" align="right" valign="top">aggregate float8[] </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a027f40b148849a721001d20f098a4a0e">linear_svm_igd_step_serial</a> (float8[] ind_var, boolean dep_var, float8[] previous_state, integer dimension, float8 stepsize, float8 reg)</td></tr> |
| <tr class="separator:a027f40b148849a721001d20f098a4a0e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8cd061b3cd2b9ef62e018c33dde27a4d"><td class="memItemLeft" align="right" valign="top">aggregate float8[] </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a8cd061b3cd2b9ef62e018c33dde27a4d">linear_svm_igd_step</a> (float8[] ind_var, boolean dep_var, float8[] previous_state, integer dimension, float8 stepsize, float8 reg)</td></tr> |
| <tr class="separator:a8cd061b3cd2b9ef62e018c33dde27a4d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a81b1bdf8278bf77439ac9e101ae2ae7a"><td class="memItemLeft" align="right" valign="top">float8 </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a81b1bdf8278bf77439ac9e101ae2ae7a">internal_linear_svm_igd_distance</a> (float8[] state1, float8[] state2)</td></tr> |
| <tr class="separator:a81b1bdf8278bf77439ac9e101ae2ae7a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a21dc69a5bcf6e08f6c0d6cb9c4461091"><td class="memItemLeft" align="right" valign="top">linear_svm_result </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a21dc69a5bcf6e08f6c0d6cb9c4461091">internal_linear_svm_igd_result</a> (float8[] state)</td></tr> |
| <tr class="separator:a21dc69a5bcf6e08f6c0d6cb9c4461091"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6dcddc88d70523ddda32b46ab82dfbbf"><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a6dcddc88d70523ddda32b46ab82dfbbf">lsvm_classification</a> (text input_table, text model_table, bool parallel, bool verbose, float8 eta, float8 reg, int max_iter)</td></tr> |
| <tr class="memdesc:a6dcddc88d70523ddda32b46ab82dfbbf"><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a6dcddc88d70523ddda32b46ab82dfbbf">More...</a><br /></td></tr> |
| <tr class="separator:a6dcddc88d70523ddda32b46ab82dfbbf"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a50896def00d0e0950bec3d95b387e6b9"><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a50896def00d0e0950bec3d95b387e6b9">lsvm_classification</a> (text input_table, text model_table, bool parallel, bool verbose, float8 eta, float8 reg)</td></tr> |
| <tr class="memdesc:a50896def00d0e0950bec3d95b387e6b9"><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a50896def00d0e0950bec3d95b387e6b9">More...</a><br /></td></tr> |
| <tr class="separator:a50896def00d0e0950bec3d95b387e6b9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a75d126981ae4bf2e6641627501f0a2a5"><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a75d126981ae4bf2e6641627501f0a2a5">lsvm_classification</a> (text input_table, text model_table, bool parallel)</td></tr> |
| <tr class="memdesc:a75d126981ae4bf2e6641627501f0a2a5"><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a75d126981ae4bf2e6641627501f0a2a5">More...</a><br /></td></tr> |
| <tr class="separator:a75d126981ae4bf2e6641627501f0a2a5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a27c1fa8b9a526d3dd27401c6433967e7"><td class="memItemLeft" align="right" valign="top">set< lsvm_sgd_result > </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a27c1fa8b9a526d3dd27401c6433967e7">lsvm_classification</a> (text input_table, text model_table)</td></tr> |
| <tr class="memdesc:a27c1fa8b9a526d3dd27401c6433967e7"><td class="mdescLeft"> </td><td class="mdescRight">This is the linear support vector classification function. <a href="#a27c1fa8b9a526d3dd27401c6433967e7">More...</a><br /></td></tr> |
| <tr class="separator:a27c1fa8b9a526d3dd27401c6433967e7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1c0a002f50250133c0ef1d3c43c6d338"><td class="memItemLeft" align="right" valign="top">text </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_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 class="memdesc:a1c0a002f50250133c0ef1d3c43c6d338"><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">More...</a><br /></td></tr> |
| <tr class="separator:a1c0a002f50250133c0ef1d3c43c6d338"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aabe1df041f856ec6eab336975536d2da"><td class="memItemLeft" align="right" valign="top">text </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#aabe1df041f856ec6eab336975536d2da">lsvm_predict_batch</a> (text input_table, text data_col, text id_col, text model_table, text output_table)</td></tr> |
| <tr class="memdesc:aabe1df041f856ec6eab336975536d2da"><td class="mdescLeft"> </td><td class="mdescRight">Scores the data points stored in a table using a learned linear support-vector model. <a href="#aabe1df041f856ec6eab336975536d2da">More...</a><br /></td></tr> |
| <tr class="separator:aabe1df041f856ec6eab336975536d2da"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0dee8d0cd54582f06de2935b25b7ecb0"><td class="memItemLeft" align="right" valign="top">float8 </td><td class="memItemRight" valign="bottom"><a class="el" href="lsvm_8sql__in.html#a0dee8d0cd54582f06de2935b25b7ecb0">lsvm_predict</a> (float8[] coefficients, float8[] ind_var)</td></tr> |
| <tr class="memdesc:a0dee8d0cd54582f06de2935b25b7ecb0"><td class="mdescLeft"> </td><td class="mdescRight">Evaluates a linear support-vector model on a given data point. <a href="#a0dee8d0cd54582f06de2935b25b7ecb0">More...</a><br /></td></tr> |
| <tr class="separator:a0dee8d0cd54582f06de2935b25b7ecb0"><td class="memSeparator" colspan="2"> </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="a81b1bdf8278bf77439ac9e101ae2ae7a"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 internal_linear_svm_igd_distance </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state2</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a21dc69a5bcf6e08f6c0d6cb9c4461091"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">linear_svm_result internal_linear_svm_igd_result </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a614936d27848149eead4581db57a9236"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 [] linear_svm_igd_final </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a241eea31c78737ecbb5da6639debec3b"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 [] linear_svm_igd_merge </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state2</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a8cd061b3cd2b9ef62e018c33dde27a4d"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">aggregate float8 [] linear_svm_igd_step </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">boolean </td> |
| <td class="paramname"><em>dep_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>previous_state</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>dimension</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>stepsize</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"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a027f40b148849a721001d20f098a4a0e"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">aggregate float8 [] linear_svm_igd_step_serial </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">boolean </td> |
| <td class="paramname"><em>dep_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>previous_state</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>dimension</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>stepsize</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"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a6f26e0007d7d95b4bb4b72db4f702b25"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 [] linear_svm_igd_transition </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>state</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">boolean </td> |
| <td class="paramname"><em>dep_var</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>previous_state</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>dimension</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>stepsize</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"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a6dcddc88d70523ddda32b46ab82dfbbf"></a> |
| <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 class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>max_iter</em> </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 (Defult: False) </td></tr> |
| <tr><td class="paramname">verbose</td><td>Verbosity of reporting (Default: False) </td></tr> |
| <tr><td class="paramname">eta</td><td>Initial learning rate in (0,1] (Default: 0.1) </td></tr> |
| <tr><td class="paramname">reg</td><td>Regularization parameter, often chosen by cross-validation (Default: 0.001) </td></tr> |
| <tr><td class="paramname">max_iter</td><td>Maximum number of iterations to run learning algorithm (Default: 100)</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="a50896def00d0e0950bec3d95b387e6b9"></a> |
| <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 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 (Defult: False) </td></tr> |
| <tr><td class="paramname">verbose</td><td>Verbosity of reporting (Default: False) </td></tr> |
| <tr><td class="paramname">eta</td><td>Initial learning rate in (0,1] (Default: 0.1) </td></tr> |
| <tr><td class="paramname">reg</td><td>Regularization parameter, often chosen by cross-validation (Default: 0.001)</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="a75d126981ae4bf2e6641627501f0a2a5"></a> |
| <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 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 (Default: false)</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="a27c1fa8b9a526d3dd27401c6433967e7"></a> |
| <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></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> |
| </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="a0dee8d0cd54582f06de2935b25b7ecb0"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float8 lsvm_predict </td> |
| <td>(</td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>coefficients</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8[] </td> |
| <td class="paramname"><em>ind_var</em> </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">coefficients</td><td>The learned model coefficients </td></tr> |
| <tr><td class="paramname">ind_var</td><td>The independent variables of the instance to be predicted</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>This function returns 1 or -1 </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a1c0a002f50250133c0ef1d3c43c6d338"></a> |
| <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 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>Deprecated and ignored boolean flag. (Default: NULL)</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="aabe1df041f856ec6eab336975536d2da"></a> |
| <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></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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Textual summary of the algorithm run </dd></dl> |
| |
| </div> |
| </div> |
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