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+ <span id="projectnumber">1.14</span>
+ </div>
+ <div id="projectbrief">User Documentation for Apache MADlib</div>
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+</script>
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+ name="MSearchResults" id="MSearchResults">
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+</div>
+
+<div class="header">
+ <div class="summary">
+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">cross_validation.sql_in File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>SQL functions for cross validation.
+<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:a2a7791b05f51e8748ab7b6ccf328a7e2"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#a2a7791b05f51e8748ab7b6ccf328a7e2">cross_validation_general</a>
(varchar modelling_func, varchar[] modelling_params, varchar[]
modelling_params_type, varchar param_explored, varchar[] explore_values,
varchar predict_func, varchar[] predict_params, varchar[] predict_params_type,
varchar metric_func, varchar[] metric_params, varchar[] metric_params_type,
varchar data_tbl, varchar data_id, boolean id_is_random, varchar
validation_result, varchar[] data_cols, integer n_folds)</td></tr>
+<tr class="separator:a2a7791b05f51e8748ab7b6ccf328a7e2"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a5efbb27898e99f7685816d9d5dfd082c"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#a5efbb27898e99f7685816d9d5dfd082c">cross_validation_general</a>
(varchar modelling_func, varchar[] modelling_params, varchar[]
modelling_params_type, varchar param_explored, varchar[] explore_values,
varchar predict_func, varchar[] predict_params, varchar[] predict_params_type,
varchar metric_func, varchar[] metric_params, varchar[] metric_params_type,
varchar data_tbl, varchar data_id, boolean id_is_random, varchar
validation_result, varchar[] data_cols)</td></tr>
+<tr class="separator:a5efbb27898e99f7685816d9d5dfd082c"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aa151eb3fa9acc7f4cc33236e22ad4362"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#aa151eb3fa9acc7f4cc33236e22ad4362">cv_linregr_train</a>
(varchar tbl_source, varchar col_ind_var, varchar col_dep_var, varchar
tbl_result)</td></tr>
+<tr class="memdesc:aa151eb3fa9acc7f4cc33236e22ad4362"><td
class="mdescLeft"> </td><td class="mdescRight">A wrapper for linear
regression. <a href="#aa151eb3fa9acc7f4cc33236e22ad4362">More...</a><br
/></td></tr>
+<tr class="separator:aa151eb3fa9acc7f4cc33236e22ad4362"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aa572f1f57c0dd106b30948928161d8cc"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#aa572f1f57c0dd106b30948928161d8cc">cv_linregr_predict</a>
(varchar tbl_model, varchar tbl_newdata, varchar col_ind_var, varchar col_id,
varchar tbl_predict)</td></tr>
+<tr class="memdesc:aa572f1f57c0dd106b30948928161d8cc"><td
class="mdescLeft"> </td><td class="mdescRight">A wrapper for linear
regression prediction. <a
href="#aa572f1f57c0dd106b30948928161d8cc">More...</a><br /></td></tr>
+<tr class="separator:aa572f1f57c0dd106b30948928161d8cc"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2cd71e756f90b0c4fa46f508a1ca261e"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#a2cd71e756f90b0c4fa46f508a1ca261e">mse_error</a>
(varchar tbl_prediction, varchar tbl_actual, varchar id_actual, varchar
values_actual, varchar tbl_error)</td></tr>
+<tr class="separator:a2cd71e756f90b0c4fa46f508a1ca261e"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ad01cd1c97ae1be0ac7cd6c42abb75bb2"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#ad01cd1c97ae1be0ac7cd6c42abb75bb2">misclassification_avg</a>
(varchar tbl_prediction, varchar tbl_actual, varchar id_actual, varchar
values_actual, varchar tbl_error)</td></tr>
+<tr class="separator:ad01cd1c97ae1be0ac7cd6c42abb75bb2"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ac7dbc115f0c4624ccbf62b2d5494388d"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#ac7dbc115f0c4624ccbf62b2d5494388d">cv_logregr_predict</a>
(varchar tbl_model, varchar tbl_newdata, varchar col_ind_var, varchar col_id,
varchar tbl_predict)</td></tr>
+<tr class="memdesc:ac7dbc115f0c4624ccbf62b2d5494388d"><td
class="mdescLeft"> </td><td class="mdescRight">A prediction function for
logistic regression The result is stored in the table of tbl_predict. <a
href="#ac7dbc115f0c4624ccbf62b2d5494388d">More...</a><br /></td></tr>
+<tr class="separator:ac7dbc115f0c4624ccbf62b2d5494388d"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2d1571ffa794176a5dfed9d35e70fed7"><td class="memItemLeft"
align="right" valign="top">integer </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#a2d1571ffa794176a5dfed9d35e70fed7">logregr_accuracy</a>
(float8[] coef, float8[] col_ind, boolean col_dep)</td></tr>
+<tr class="memdesc:a2d1571ffa794176a5dfed9d35e70fed7"><td
class="mdescLeft"> </td><td class="mdescRight">Metric function for
logistic regression. <a
href="#a2d1571ffa794176a5dfed9d35e70fed7">More...</a><br /></td></tr>
+<tr class="separator:a2d1571ffa794176a5dfed9d35e70fed7"><td
class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ac1b5c57473ff672af45191c8d53f46ed"><td class="memItemLeft"
align="right" valign="top">void </td><td class="memItemRight"
valign="bottom"><a class="el"
href="cross__validation_8sql__in.html#ac1b5c57473ff672af45191c8d53f46ed">cv_logregr_accuracy</a>
(varchar tbl_predict, varchar tbl_source, varchar col_id, varchar col_dep_var,
varchar tbl_accuracy)</td></tr>
+<tr class="memdesc:ac1b5c57473ff672af45191c8d53f46ed"><td
class="mdescLeft"> </td><td class="mdescRight">Metric function for
logistic regression. <a
href="#ac1b5c57473ff672af45191c8d53f46ed">More...</a><br /></td></tr>
+<tr class="separator:ac1b5c57473ff672af45191c8d53f46ed"><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 date"><dt>Date</dt><dd>January
2011</dd></dl>
+<dl class="section see"><dt>See also</dt><dd>For a brief introduction to the
usage of cross validation, see the module description <a class="el"
href="group__grp__validation.html">Cross Validation</a>. </dd></dl>
+</div><h2 class="groupheader">Function Documentation</h2>
+<a id="a2a7791b05f51e8748ab7b6ccf328a7e2"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#a2a7791b05f51e8748ab7b6ccf328a7e2">◆ </a></span>cross_validation_general()
<span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cross_validation_general </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>modelling_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>modelling_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>modelling_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>param_explored</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>explore_values</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>predict_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>predict_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>predict_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>metric_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>metric_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>metric_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>data_tbl</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>data_id</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">boolean </td>
+ <td class="paramname"><em>id_is_random</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>validation_result</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>data_cols</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">integer </td>
+ <td class="paramname"><em>n_folds</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a5efbb27898e99f7685816d9d5dfd082c"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#a5efbb27898e99f7685816d9d5dfd082c">◆ </a></span>cross_validation_general()
<span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cross_validation_general </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>modelling_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>modelling_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>modelling_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>param_explored</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>explore_values</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>predict_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>predict_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>predict_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>metric_func</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>metric_params</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>metric_params_type</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>data_tbl</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>data_id</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">boolean </td>
+ <td class="paramname"><em>id_is_random</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>validation_result</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar [] </td>
+ <td class="paramname"><em>data_cols</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="aa572f1f57c0dd106b30948928161d8cc"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#aa572f1f57c0dd106b30948928161d8cc">◆ </a></span>cv_linregr_predict()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cv_linregr_predict </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_model</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_newdata</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_ind_var</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_id</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_predict</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="aa151eb3fa9acc7f4cc33236e22ad4362"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#aa151eb3fa9acc7f4cc33236e22ad4362">◆ </a></span>cv_linregr_train()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cv_linregr_train </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_source</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_ind_var</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_dep_var</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_result</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="ac1b5c57473ff672af45191c8d53f46ed"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#ac1b5c57473ff672af45191c8d53f46ed">◆ </a></span>cv_logregr_accuracy()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cv_logregr_accuracy </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_predict</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_source</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_id</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_dep_var</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_accuracy</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>It computes the percentage of correct predictions. The result is stored in
the table of tbl_accuracy </p>
+
+</div>
+</div>
+<a id="ac7dbc115f0c4624ccbf62b2d5494388d"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#ac7dbc115f0c4624ccbf62b2d5494388d">◆ </a></span>cv_logregr_predict()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void cv_logregr_predict </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_model</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_newdata</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_ind_var</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>col_id</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_predict</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>This function can be used together with cross-validation </p>
+
+</div>
+</div>
+<a id="a2d1571ffa794176a5dfed9d35e70fed7"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#a2d1571ffa794176a5dfed9d35e70fed7">◆ </a></span>logregr_accuracy()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">integer logregr_accuracy </td>
+ <td>(</td>
+ <td class="paramtype">float8 [] </td>
+ <td class="paramname"><em>coef</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float8 [] </td>
+ <td class="paramname"><em>col_ind</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">boolean </td>
+ <td class="paramname"><em>col_dep</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">coef</td><td>Logistic fitting coefficients.
Note: MADlib logregr_train function, unlike elastic_net, does not produce a
separate intercept term. </td></tr>
+ <tr><td class="paramname">col_ind</td><td>Independent variable, an array
</td></tr>
+ <tr><td class="paramname">col_dep</td><td>Dependent variable</td></tr>
+ </table>
+ </dd>
+</dl>
+<p>returns 1 if the prediction is the same as col_dep, otherwise 0 </p>
+
+</div>
+</div>
+<a id="ad01cd1c97ae1be0ac7cd6c42abb75bb2"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#ad01cd1c97ae1be0ac7cd6c42abb75bb2">◆ </a></span>misclassification_avg()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void misclassification_avg </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_prediction</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>id_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>values_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_error</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a2cd71e756f90b0c4fa46f508a1ca261e"></a>
+<h2 class="memtitle"><span class="permalink"><a
href="#a2cd71e756f90b0c4fa46f508a1ca261e">◆ </a></span>mse_error()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void mse_error </td>
+ <td>(</td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_prediction</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>id_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>values_actual</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">varchar </td>
+ <td class="paramname"><em>tbl_error</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
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+ <li class="footer">Generated on Wed May 2 2018 13:00:11 for MADlib by
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