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href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">lsvm.sql_in File Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<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> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_704eb8350b43e1ca74c0f90ed1ba450e.html">methods</a></li><li class="navelem"><a class="el" href="dir_883e487a38cc988e0c441456a570d389.html">kernel_machines</a></li><li class="navelem"><a class="el" href="dir_085c2d6b775d67156938ac94f000f710.html">src</a></li><li class="navelem"><a class="el" href="dir_757021f59fa4b40e61a20490993d949a.html">pg_gp</a></li><li class="navelem"><a class="el" href="lsvm_8sql__in.html">lsvm.sql_in</a></li> + <li class="footer">Generated on Fri Apr 8 2016 15:57:29 for MADlib by + <a href="http://www.doxygen.org/index.html";> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> + </ul> +</div> +</body> +</html>
http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/madlib_extra.css ---------------------------------------------------------------------- diff --git a/docs/latest/madlib_extra.css b/docs/latest/madlib_extra.css index 2b88a35..bbc884d 100644 --- a/docs/latest/madlib_extra.css +++ b/docs/latest/madlib_extra.css @@ -99,7 +99,7 @@ td.paramname { /* Style parameter lists formatted with definition lists. */ dl.arglist { - margin-left: 20px; + margin-left: 40px; margin-top: 0px; } http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/mainpage_8dox.html ---------------------------------------------------------------------- diff --git a/docs/latest/mainpage_8dox.html b/docs/latest/mainpage_8dox.html index d6eeab9..b7908c0 100644 --- a/docs/latest/mainpage_8dox.html +++ b/docs/latest/mainpage_8dox.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -115,7 +115,7 @@ $(document).ready(function(){initNavTree('mainpage_8dox.html','');}); <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="mainpage_8dox.html">mainpage.dox</a></li> - <li class="footer">Generated on Thu Apr 7 2016 14:24:10 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/marginal_8sql__in.html ---------------------------------------------------------------------- diff --git a/docs/latest/marginal_8sql__in.html b/docs/latest/marginal_8sql__in.html index 0c03540..7353318 100644 --- a/docs/latest/marginal_8sql__in.html +++ b/docs/latest/marginal_8sql__in.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -2592,7 +2592,7 @@ Functions</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_efbcf68973d247bbf15f9eecae7f24e3.html">ports</a></li><li class="navelem"><a class="el" href="dir_a4a48839224ef8488facbffa8a397967.html">postgres</a></li><li class="navelem"><a class="el" href="dir_dc596537ad427a4d866006d1a3e1fe29.html">modules</a></li><li class="navelem"><a class="el" href="dir_ac52a4b89b7b1b1591f2952b5cbd041a.html">regress</a></li><li class="navelem"><a class="el" href="marginal_8sql__in.html">marginal.sql_in</a></li> - <li class="footer">Generated on Thu Apr 7 2016 14:24:10 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/matrix__ops_8sql__in.html ---------------------------------------------------------------------- diff --git a/docs/latest/matrix__ops_8sql__in.html b/docs/latest/matrix__ops_8sql__in.html index 10ee67e..d4b0642 100644 --- a/docs/latest/matrix__ops_8sql__in.html +++ b/docs/latest/matrix__ops_8sql__in.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -5949,7 +5949,7 @@ SELECT matrix_scale_and_add('matrix_a', 'matrix_b', -1, 'matrix_out'); <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_efbcf68973d247bbf15f9eecae7f24e3.html">ports</a></li><li class="navelem"><a class="el" href="dir_a4a48839224ef8488facbffa8a397967.html">postgres</a></li><li class="navelem"><a class="el" href="dir_dc596537ad427a4d866006d1a3e1fe29.html">modules</a></li><li class="navelem"><a class="el" href="dir_9e42ee0a0235722f482630aa6cc99334.html">linalg</a></li><li class="navelem"><a class="el" href="matrix__ops_8sql__in.html">matrix_ops.sql_in</a></li> - <li class="footer">Generated on Thu Apr 7 2016 14:24:10 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/modules.html ---------------------------------------------------------------------- diff --git a/docs/latest/modules.html b/docs/latest/modules.html index 14e152d..4aaa0fc 100644 --- a/docs/latest/modules.html +++ b/docs/latest/modules.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -124,9 +124,11 @@ $(document).ready(function(){initNavTree('modules.html','');}); <tr id="row_0_1_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__pca__train.html" target="_self">Principal Component Analysis</a></td><td class="desc">Produces a model that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables called principal components </td></tr> <tr id="row_0_1_1_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__pca__project.html" target="_self">Principal Component Projection</a></td><td class="desc">Projects a higher dimensional data point to a lower dimensional subspace spanned by principal components learned through the PCA training procedure </td></tr> <tr id="row_0_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__data__prep.html" target="_self">Encoding Categorical Variables</a></td><td class="desc">Provides utility functions helpful for data preparation before modeling </td></tr> -<tr id="row_0_3_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__stemmer.html" target="_self">Stemming</a></td><td class="desc">Provides porter stemmer operations supporting other MADlib modules </td></tr> -<tr id="row_1_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_1_" class="arrow" onclick="toggleFolder('1_')">▼</span><a class="el" href="group__grp__mdl.html" target="_self">Model Evaluation</a></td><td class="desc"></td></tr> -<tr id="row_1_0_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__validation.html" target="_self">Cross Validation</a></td><td class="desc"></td></tr> +<tr id="row_0_3_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__pivot.html" target="_self">Pivot</a></td><td class="desc">Provides pivoting functions helpful for data preparation before modeling </td></tr> +<tr id="row_0_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__stemmer.html" target="_self">Stemming</a></td><td class="desc">Provides porter stemmer operations supporting other MADlib modules </td></tr> +<tr id="row_1_"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_1_" class="arrow" onclick="toggleFolder('1_')">▼</span><a class="el" href="group__grp__mdl.html" target="_self">Model Evaluation</a></td><td class="desc"></td></tr> +<tr id="row_1_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__validation.html" target="_self">Cross Validation</a></td><td class="desc">Estimates the fit of a predictive model given a data set and specifications for the training, prediction, and error estimation functions </td></tr> +<tr id="row_1_1_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__pred.html" target="_self">Prediction Metrics</a></td><td class="desc">Provides various prediction accuracy metrics </td></tr> <tr id="row_2_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_2_" class="arrow" onclick="toggleFolder('2_')">▼</span><a class="el" href="group__grp__stats.html" target="_self">Statistics</a></td><td class="desc"></td></tr> <tr id="row_2_0_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_2_0_" class="arrow" onclick="toggleFolder('2_0_')">▼</span><a class="el" href="group__grp__desc__stats.html" target="_self">Descriptive Statistics</a></td><td class="desc"></td></tr> <tr id="row_2_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__correlation.html" target="_self">Pearson's Correlation</a></td><td class="desc">Generates a cross-correlation matrix for all pairs of numeric columns in a table </td></tr> @@ -165,26 +167,21 @@ $(document).ready(function(){initNavTree('modules.html','');}); <tr id="row_6_1_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_6_1_" class="arrow" onclick="toggleFolder('6_1_')">▼</span><a class="el" href="group__grp__linear__solver.html" target="_self">Linear Solvers</a></td><td class="desc"></td></tr> <tr id="row_6_1_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__dense__linear__solver.html" target="_self">Dense Linear Systems</a></td><td class="desc">Implements solution methods for large dense linear systems. Currently, restricted to problems that fit in memory </td></tr> <tr id="row_6_1_1_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__sparse__linear__solver.html" target="_self">Sparse Linear Systems</a></td><td class="desc">Implements solution methods for linear systems with sparse matrix input. Currently, restricted to problems that fit in memory </td></tr> -<tr id="row_6_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__path.html" target="_self">Path Functions</a></td><td class="desc">Path Functions </td></tr> +<tr id="row_6_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__path.html" target="_self">Path</a></td><td class="desc">Path Functions </td></tr> <tr id="row_6_3_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__pmml.html" target="_self">PMML Export</a></td><td class="desc">Implements the PMML XML standard to describe and exchange models produced by data mining and machine learning algorithms </td></tr> -<tr id="row_6_4_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_6_4_" class="arrow" onclick="toggleFolder('6_4_')">▼</span><a class="el" href="group__grp__text__analysis.html" target="_self">Text Analysis</a></td><td class="desc"></td></tr> -<tr id="row_6_4_0_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__text__utilities.html" target="_self">Term Frequency</a></td><td class="desc">Provides a collection of user-defined functions for performing common tasks related to text </td></tr> -<tr id="row_7_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_7_" class="arrow" onclick="toggleFolder('7_')">▼</span><a class="el" href="group__grp__early__stage.html" target="_self">Early Stage Development</a></td><td class="desc">A collection of implementations which are in early stage of development. There may be some issues that will be addressed in a future version. Interface and implementation are subject to change </td></tr> -<tr id="row_7_0_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_7_0_" class="arrow" onclick="toggleFolder('7_0_')">▼</span><a class="el" href="group__grp__sketches.html" target="_self">Cardinality Estimators</a></td><td class="desc">A collection of methods to estimate the number of unique values contained in the data </td></tr> -<tr id="row_7_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__countmin.html" target="_self">CountMin (Cormode-Muthukrishnan)</a></td><td class="desc">Implements Cormode-Mathukrishnan <em>CountMin</em> sketches on integer values as a user-defined aggregate </td></tr> -<tr id="row_7_0_1_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__fmsketch.html" target="_self">FM (Flajolet-Martin)</a></td><td class="desc">Implements Flajolet-Martin's distinct count estimation as a user-defined aggregate </td></tr> -<tr id="row_7_0_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__mfvsketch.html" target="_self">MFV (Most Frequent Values)</a></td><td class="desc">Implements the most frequent values variant of the CountMin sketch as a user-defined aggregate </td></tr> -<tr id="row_7_1_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__cg.html" target="_self">Conjugate Gradient</a></td><td class="desc">Finds the solution to the function <img class="formulaInl" alt="$ \boldsymbol Ax = \boldsymbol b $" src="form_40.png"/>, where <img class="formulaInl" alt="$A$" src="form_41.png"/> is a symmetric, positive-definite matrix and <img class="formulaInl" alt="$x$" src="form_42.png"/> and <img class="formulaInl" alt="$ \boldsymbol b $" src="form_43.png"/> are vectors </td></tr> -<tr id="row_7_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__bayes.html" target="_self">Naive Bayes Classification</a></td><td class="desc">Constructs a classification model from a dataset where each attribute independently contributes to the probability that a data point belongs to a category </td></tr> -<tr id="row_7_3_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__sample.html" target="_self">Random Sampling</a></td><td class="desc">Provides utility functions for sampling operations </td></tr> -<tr id="row_7_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__kernmach.html" target="_self">Support Vector Machines</a></td><td class="desc"></td></tr> +<tr id="row_6_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__sessionize.html" target="_self">Sessionize</a></td><td class="desc">Sessionize </td></tr> +<tr id="row_6_5_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_6_5_" class="arrow" onclick="toggleFolder('6_5_')">▼</span><a class="el" href="group__grp__text__analysis.html" target="_self">Text Analysis</a></td><td class="desc"></td></tr> +<tr id="row_6_5_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__text__utilities.html" target="_self">Term Frequency</a></td><td class="desc">Provides a collection of user-defined functions for performing common tasks related to text </td></tr> +<tr id="row_7_"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_7_" class="arrow" onclick="toggleFolder('7_')">▼</span><a class="el" href="group__grp__early__stage.html" target="_self">Early Stage Development</a></td><td class="desc">A collection of implementations which are in early stage of development. There may be some issues that will be addressed in a future version. Interface and implementation are subject to change </td></tr> +<tr id="row_7_0_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_7_0_" class="arrow" onclick="toggleFolder('7_0_')">▼</span><a class="el" href="group__grp__sketches.html" target="_self">Cardinality Estimators</a></td><td class="desc">A collection of methods to estimate the number of unique values contained in the data </td></tr> +<tr id="row_7_0_0_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__countmin.html" target="_self">CountMin (Cormode-Muthukrishnan)</a></td><td class="desc">Implements Cormode-Mathukrishnan <em>CountMin</em> sketches on integer values as a user-defined aggregate </td></tr> +<tr id="row_7_0_1_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__fmsketch.html" target="_self">FM (Flajolet-Martin)</a></td><td class="desc">Implements Flajolet-Martin's distinct count estimation as a user-defined aggregate </td></tr> +<tr id="row_7_0_2_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a class="el" href="group__grp__mfvsketch.html" target="_self">MFV (Most Frequent Values)</a></td><td class="desc">Implements the most frequent values variant of the CountMin sketch as a user-defined aggregate </td></tr> +<tr id="row_7_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__cg.html" target="_self">Conjugate Gradient</a></td><td class="desc">Finds the solution to the function <img class="formulaInl" alt="$ \boldsymbol Ax = \boldsymbol b $" src="form_40.png"/>, where <img class="formulaInl" alt="$A$" src="form_41.png"/> is a symmetric, positive-definite matrix and <img class="formulaInl" alt="$x$" src="form_42.png"/> and <img class="formulaInl" alt="$ \boldsymbol b $" src="form_43.png"/> are vectors </td></tr> +<tr id="row_7_2_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__bayes.html" target="_self">Naive Bayes Classification</a></td><td class="desc">Constructs a classification model from a dataset where each attribute independently contributes to the probability that a data point belongs to a category </td></tr> +<tr id="row_7_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__sample.html" target="_self">Random Sampling</a></td><td class="desc">Provides utility functions for sampling operations </td></tr> <tr id="row_8_"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_8_" class="arrow" onclick="toggleFolder('8_')">▼</span><a class="el" href="group__grp__deprecated.html" target="_self">Deprecated Modules</a></td><td class="desc"></td></tr> -<tr id="row_8_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__dectree.html" target="_self">Decision Tree (old C4.5 implementation)</a></td><td class="desc"></td></tr> -<tr id="row_8_1_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__svdmf.html" target="_self">Matrix Factorization</a></td><td class="desc"></td></tr> -<tr id="row_8_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__mlogreg.html" target="_self">Multinomial Logistic Regression</a></td><td class="desc">Also called as softmax regression, models the relationship between one or more independent variables and a categorical dependent variable </td></tr> -<tr id="row_8_3_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__profile.html" target="_self">Profile</a></td><td class="desc">Produces a "profile" of a table or view by running a predefined set of aggregates on each column </td></tr> -<tr id="row_8_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__quantile.html" target="_self">Quantile</a></td><td class="desc">Computes a quantile value for a column in a table </td></tr> -<tr id="row_8_5_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__rf.html" target="_self">Random Forest (old implementation)</a></td><td class="desc"></td></tr> +<tr id="row_8_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a class="el" href="group__grp__mlogreg.html" target="_self">Multinomial Logistic Regression</a></td><td class="desc">Also called as softmax regression, models the relationship between one or more independent variables and a categorical dependent variable </td></tr> </table> </div><!-- directory --> </div><!-- contents --> @@ -192,7 +189,7 @@ $(document).ready(function(){initNavTree('modules.html','');}); <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> - <li class="footer">Generated on Thu Apr 7 2016 14:24:11 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/multilogistic_8sql__in.html ---------------------------------------------------------------------- diff --git a/docs/latest/multilogistic_8sql__in.html b/docs/latest/multilogistic_8sql__in.html index 0bc766d..9861775 100644 --- a/docs/latest/multilogistic_8sql__in.html +++ b/docs/latest/multilogistic_8sql__in.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -598,11 +598,11 @@ Functions</h2></td></tr> <li><code>ref_category INTEGER</code> - Reference category</li> <li><code>coef FLOAT8[]</code> - Array of coefficients, <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/></li> <li><code>log_likelihood FLOAT8</code> - Log-likelihood <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/></li> -<li><code>std_err FLOAT8[]</code> - Array of standard errors, <img class="formulaInl" alt="$ \mathit{se}(c_1), \dots, \mathit{se}(c_k) $" src="form_349.png"/></li> -<li><code>z_stats FLOAT8[]</code> - Array of Wald z-statistics, <img class="formulaInl" alt="$ \boldsymbol z $" src="form_357.png"/></li> -<li><code>p_values FLOAT8[]</code> - Array of Wald p-values, <img class="formulaInl" alt="$ \boldsymbol p $" src="form_351.png"/></li> -<li><code>odds_ratios FLOAT8[]</code>: Array of odds ratios, <img class="formulaInl" alt="$ \mathit{odds}(c_1), \dots, \mathit{odds}(c_k) $" src="form_358.png"/></li> -<li><code>condition_no FLOAT8</code> - The condition number of matrix <img class="formulaInl" alt="$ X^T A X $" src="form_359.png"/> during the iteration immediately <em>preceding</em> convergence (i.e., <img class="formulaInl" alt="$ A $" src="form_13.png"/> is computed using the coefficients of the previous iteration)</li> +<li><code>std_err FLOAT8[]</code> - Array of standard errors, <img class="formulaInl" alt="$ \mathit{se}(c_1), \dots, \mathit{se}(c_k) $" src="form_350.png"/></li> +<li><code>z_stats FLOAT8[]</code> - Array of Wald z-statistics, <img class="formulaInl" alt="$ \boldsymbol z $" src="form_358.png"/></li> +<li><code>p_values FLOAT8[]</code> - Array of Wald p-values, <img class="formulaInl" alt="$ \boldsymbol p $" src="form_352.png"/></li> +<li><code>odds_ratios FLOAT8[]</code>: Array of odds ratios, <img class="formulaInl" alt="$ \mathit{odds}(c_1), \dots, \mathit{odds}(c_k) $" src="form_359.png"/></li> +<li><code>condition_no FLOAT8</code> - The condition number of matrix <img class="formulaInl" alt="$ X^T A X $" src="form_360.png"/> during the iteration immediately <em>preceding</em> convergence (i.e., <img class="formulaInl" alt="$ A $" src="form_13.png"/> is computed using the coefficients of the previous iteration)</li> <li><code>num_iterations INTEGER</code> - The number of iterations before the algorithm terminated</li> </ul> </dd></dl> @@ -613,7 +613,7 @@ Functions</h2></td></tr> <li>Get vector of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>:<br /> <pre>SELECT (mlogregr('<em>sourceName</em>', '<em>dependentVariable</em>', '<em>numCategories</em>', '<em>independentVariables</em>')).coef;</pre></li> -<li>Get a subset of the output columns, e.g., only the array of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>, the log-likelihood of determination <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/>, and the array of p-values <img class="formulaInl" alt="$ \boldsymbol p $" src="form_351.png"/>: <pre>SELECT coef, log_likelihood, p_values +<li>Get a subset of the output columns, e.g., only the array of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>, the log-likelihood of determination <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/>, and the array of p-values <img class="formulaInl" alt="$ \boldsymbol p $" src="form_352.png"/>: <pre>SELECT coef, log_likelihood, p_values FROM mlogregr('<em>sourceName</em>', '<em>dependentVariable</em>', '<em>numCategories</em>', '<em>independentVariables</em>');</pre></li> </ul> @@ -897,11 +897,11 @@ Functions</h2></td></tr> <li><code>ref_category INTEGER</code> - Reference category</li> <li><code>coef FLOAT8[]</code> - Array of coefficients, <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/></li> <li><code>log_likelihood FLOAT8</code> - Log-likelihood <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/></li> -<li><code>std_err FLOAT8[]</code> - Array of standard errors, <img class="formulaInl" alt="$ \mathit{se}(c_1), \dots, \mathit{se}(c_k) $" src="form_349.png"/></li> -<li><code>z_stats FLOAT8[]</code> - Array of Wald z-statistics, <img class="formulaInl" alt="$ \boldsymbol z $" src="form_357.png"/></li> -<li><code>p_values FLOAT8[]</code> - Array of Wald p-values, <img class="formulaInl" alt="$ \boldsymbol p $" src="form_351.png"/></li> -<li><code>odds_ratios FLOAT8[]</code>: Array of odds ratios, <img class="formulaInl" alt="$ \mathit{odds}(c_1), \dots, \mathit{odds}(c_k) $" src="form_358.png"/></li> -<li><code>condition_no FLOAT8</code> - The condition number of matrix <img class="formulaInl" alt="$ X^T A X $" src="form_359.png"/> during the iteration immediately <em>preceding</em> convergence (i.e., <img class="formulaInl" alt="$ A $" src="form_13.png"/> is computed using the coefficients of the previous iteration) An output table (named 'output_table'_summary) containing following columns:</li> +<li><code>std_err FLOAT8[]</code> - Array of standard errors, <img class="formulaInl" alt="$ \mathit{se}(c_1), \dots, \mathit{se}(c_k) $" src="form_350.png"/></li> +<li><code>z_stats FLOAT8[]</code> - Array of Wald z-statistics, <img class="formulaInl" alt="$ \boldsymbol z $" src="form_358.png"/></li> +<li><code>p_values FLOAT8[]</code> - Array of Wald p-values, <img class="formulaInl" alt="$ \boldsymbol p $" src="form_352.png"/></li> +<li><code>odds_ratios FLOAT8[]</code>: Array of odds ratios, <img class="formulaInl" alt="$ \mathit{odds}(c_1), \dots, \mathit{odds}(c_k) $" src="form_359.png"/></li> +<li><code>condition_no FLOAT8</code> - The condition number of matrix <img class="formulaInl" alt="$ X^T A X $" src="form_360.png"/> during the iteration immediately <em>preceding</em> convergence (i.e., <img class="formulaInl" alt="$ A $" src="form_13.png"/> is computed using the coefficients of the previous iteration) An output table (named 'output_table'_summary) containing following columns:</li> <li><code>regression_type VARCHAR</code> - The regression type run (in this case it will be 'mlogit')</li> <li><code>source_table VARCHAR</code> - Source table containing the training data</li> <li><code>output_table VARCHAR</code> - Output table containing the trained model</li> @@ -921,7 +921,7 @@ Functions</h2></td></tr> </pre></li> <li>Get vector of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>:<br /> <pre>SELECT coef from <em>outputName</em>;</pre></li> -<li>Get a subset of the output columns, e.g., only the array of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>, the log-likelihood of determination <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/>, and the array of p-values <img class="formulaInl" alt="$ \boldsymbol p $" src="form_351.png"/>: <pre>SELECT coef, log_likelihood, p_values +<li>Get a subset of the output columns, e.g., only the array of coefficients <img class="formulaInl" alt="$ \boldsymbol c $" src="form_78.png"/>, the log-likelihood of determination <img class="formulaInl" alt="$ l(\boldsymbol c) $" src="form_79.png"/>, and the array of p-values <img class="formulaInl" alt="$ \boldsymbol p $" src="form_352.png"/>: <pre>SELECT coef, log_likelihood, p_values FROM <em>outputName</em>;</pre> </li> </ul> </dd></dl> @@ -1047,7 +1047,7 @@ Functions</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_efbcf68973d247bbf15f9eecae7f24e3.html">ports</a></li><li class="navelem"><a class="el" href="dir_a4a48839224ef8488facbffa8a397967.html">postgres</a></li><li class="navelem"><a class="el" href="dir_dc596537ad427a4d866006d1a3e1fe29.html">modules</a></li><li class="navelem"><a class="el" href="dir_ac52a4b89b7b1b1591f2952b5cbd041a.html">regress</a></li><li class="navelem"><a class="el" href="multilogistic_8sql__in.html">multilogistic.sql_in</a></li> - <li class="footer">Generated on Thu Apr 7 2016 14:24:10 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/multiresponseglm_8sql__in.html ---------------------------------------------------------------------- diff --git a/docs/latest/multiresponseglm_8sql__in.html b/docs/latest/multiresponseglm_8sql__in.html index 1bf8176..ed05d9a 100644 --- a/docs/latest/multiresponseglm_8sql__in.html +++ b/docs/latest/multiresponseglm_8sql__in.html @@ -47,7 +47,7 @@ <td id="projectlogo"><a href="http://madlib.net";><img alt="Logo" src="madlib.png" height="50" style="padding-left:0.5em;" border="0"/ ></a></td> <td style="padding-left: 0.5em;"> <div id="projectname"> - <span id="projectnumber">1.9</span> + <span id="projectnumber">1.9.1</span> </div> <div id="projectbrief">User Documentation for MADlib</div> </td> @@ -220,7 +220,7 @@ Functions</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_efbcf68973d247bbf15f9eecae7f24e3.html">ports</a></li><li class="navelem"><a class="el" href="dir_a4a48839224ef8488facbffa8a397967.html">postgres</a></li><li class="navelem"><a class="el" href="dir_dc596537ad427a4d866006d1a3e1fe29.html">modules</a></li><li class="navelem"><a class="el" href="dir_e502304d8bc7f1ef2456a474c6d92acd.html">glm</a></li><li class="navelem"><a class="el" href="multiresponseglm_8sql__in.html">multiresponseglm.sql_in</a></li> - <li class="footer">Generated on Thu Apr 7 2016 14:24:10 for MADlib by + <li class="footer">Generated on Tue Sep 20 2016 11:27:01 for MADlib by <a href="http://www.doxygen.org/index.html";> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.10 </li> </ul> http://git-wip-us.apache.org/repos/asf/incubator-madlib-site/blob/bed9253d/docs/latest/navtreeindex0.js ---------------------------------------------------------------------- diff --git a/docs/latest/navtreeindex0.js b/docs/latest/navtreeindex0.js index 25cfbb5..9c1f6f8 100644 --- a/docs/latest/navtreeindex0.js +++ b/docs/latest/navtreeindex0.js @@ -16,7 +16,6 @@ var NAVTREEINDEX0 = "group__grp__data__prep.html":[0,0,2], "group__grp__datatrans.html":[0,0], "group__grp__decision__tree.html":[0,3,3,0], -"group__grp__dectree.html":[0,8,0], "group__grp__dense__linear__solver.html":[0,6,1,0], "group__grp__deprecated.html":[0,8], "group__grp__desc__stats.html":[0,2,0], @@ -25,7 +24,6 @@ var NAVTREEINDEX0 = "group__grp__fmsketch.html":[0,7,0,1], "group__grp__glm.html":[0,3,1,3], "group__grp__inf__stats.html":[0,2,1], -"group__grp__kernmach.html":[0,7,4], "group__grp__kmeans.html":[0,5,1,0], "group__grp__lda.html":[0,5,2,0], "group__grp__linalg.html":[0,0,0,3], @@ -38,35 +36,34 @@ var NAVTREEINDEX0 = "group__grp__matrix__factorization.html":[0,0,0,2], "group__grp__mdl.html":[0,1], "group__grp__mfvsketch.html":[0,7,0,2], -"group__grp__mlogreg.html":[0,8,2], +"group__grp__mlogreg.html":[0,8,0], "group__grp__multinom.html":[0,3,1,7], "group__grp__ordinal.html":[0,3,1,8], "group__grp__path.html":[0,6,2], "group__grp__pca.html":[0,0,1], "group__grp__pca__project.html":[0,0,1,1], "group__grp__pca__train.html":[0,0,1,0], +"group__grp__pivot.html":[0,0,3], "group__grp__pmml.html":[0,6,3], +"group__grp__pred.html":[0,1,1], "group__grp__prob.html":[0,2,2], -"group__grp__profile.html":[0,8,3], -"group__grp__quantile.html":[0,8,4], "group__grp__random__forest.html":[0,3,3,1], "group__grp__regml.html":[0,3,1], -"group__grp__rf.html":[0,8,5], "group__grp__robust.html":[0,3,1,9], "group__grp__sample.html":[0,7,3], +"group__grp__sessionize.html":[0,6,4], "group__grp__sketches.html":[0,7,0], "group__grp__sparse__linear__solver.html":[0,6,1,1], "group__grp__stats.html":[0,2], "group__grp__stats__tests.html":[0,2,1,0], -"group__grp__stemmer.html":[0,0,3], +"group__grp__stemmer.html":[0,0,4], "group__grp__summary.html":[0,2,0,1], "group__grp__super.html":[0,3], "group__grp__svd.html":[0,0,0,2,1], -"group__grp__svdmf.html":[0,8,1], "group__grp__svec.html":[0,0,0,4], "group__grp__svm.html":[0,3,2], -"group__grp__text__analysis.html":[0,6,4], -"group__grp__text__utilities.html":[0,6,4,0], +"group__grp__text__analysis.html":[0,6,5], +"group__grp__text__utilities.html":[0,6,5,0], 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