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<title>MADlib: elastic_net.sql_in File Reference</title>
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<a href="#func-members">Functions</a> </div>
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<div class="title">elastic_net.sql_in File Reference</div> </div>
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<p>SQL functions for elastic net regularization.
<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:a735038a5090c112505c740a90a203e83"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a735038a5090c112505c740a90a203e83">elastic_net_train</a> (text tbl_source, text tbl_result, text col_dep_var, text col_ind_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardize, text grouping_col, text optimizer, text optimizer_params, text excluded, integer max_iter, float8 tolerance)</td></tr>
<tr class="memdesc:a735038a5090c112505c740a90a203e83"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for elastic net. <a href="#a735038a5090c112505c740a90a203e83">More...</a><br /></td></tr>
<tr class="separator:a735038a5090c112505c740a90a203e83"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a148de1ad5e1e60b9df3d3af590c06579"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a148de1ad5e1e60b9df3d3af590c06579">elastic_net_train</a> (text tbl_source, text tbl_result, text col_ind_var, text col_dep_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardization, text grouping_columns, text optimizer, text optimizer_params, text excluded, integer max_iter)</td></tr>
<tr class="separator:a148de1ad5e1e60b9df3d3af590c06579"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="separator:a63c8ed415005cc446a59bdc47a09791d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac26504e7ac55190207758356d821a01a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#ac26504e7ac55190207758356d821a01a">elastic_net_train</a> (text tbl_source, text tbl_result, text col_ind_var, text col_dep_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardization, text grouping_columns, text optimizer, text optimizer_params)</td></tr>
<tr class="separator:ac26504e7ac55190207758356d821a01a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7e698f9a0c7a1aa43f4bf9e169dc8b35"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a7e698f9a0c7a1aa43f4bf9e169dc8b35">elastic_net_train</a> (text tbl_source, text tbl_result, text col_ind_var, text col_dep_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardization, text grouping_columns, text optimizer)</td></tr>
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<tr class="memitem:ab54d8862d3ad299aceca4ac2c914437e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#ab54d8862d3ad299aceca4ac2c914437e">elastic_net_train</a> (text tbl_source, text tbl_result, text col_ind_var, text col_dep_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardization, text grouping_columns)</td></tr>
<tr class="separator:ab54d8862d3ad299aceca4ac2c914437e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0351b7ed17eccb6db2c0bd61b421458b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a0351b7ed17eccb6db2c0bd61b421458b">elastic_net_train</a> (text tbl_source, text tbl_result, text col_ind_var, text col_dep_var, text regress_family, float8 alpha, float8 lambda_value, boolean standardization)</td></tr>
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<tr class="memdesc:add7e2592fb0bd9f2eb1d8b176c80b5d0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Help function, to print out the supported families. <a href="#add7e2592fb0bd9f2eb1d8b176c80b5d0">More...</a><br /></td></tr>
<tr class="separator:add7e2592fb0bd9f2eb1d8b176c80b5d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f6ee3def49b5e9a1d3375fe41427dc0"><td class="memItemLeft" align="right" valign="top">text&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a6f6ee3def49b5e9a1d3375fe41427dc0">elastic_net_train</a> (text family_or_optimizer)</td></tr>
<tr class="memdesc:a6f6ee3def49b5e9a1d3375fe41427dc0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Help function, to print out the supported optimizer for a family or print out the parameter list for an optimizer. <a href="#a6f6ee3def49b5e9a1d3375fe41427dc0">More...</a><br /></td></tr>
<tr class="separator:a6f6ee3def49b5e9a1d3375fe41427dc0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3578608204ac9b2d3442ff42977f632b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a3578608204ac9b2d3442ff42977f632b">elastic_net_predict</a> (text tbl_model, text tbl_new_source, text col_id, text tbl_predict)</td></tr>
<tr class="memdesc:a3578608204ac9b2d3442ff42977f632b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prediction and put the result in a table can be used together with General-CV. <a href="#a3578608204ac9b2d3442ff42977f632b">More...</a><br /></td></tr>
<tr class="separator:a3578608204ac9b2d3442ff42977f632b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaddbfdfea4207d38ab7e2cd3db876bdc"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#aaddbfdfea4207d38ab7e2cd3db876bdc">elastic_net_predict</a> (text regress_family, float8[] coefficients, float8 intercept, float8[] ind_var)</td></tr>
<tr class="memdesc:aaddbfdfea4207d38ab7e2cd3db876bdc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prediction use learned coefficients for a given example. <a href="#aaddbfdfea4207d38ab7e2cd3db876bdc">More...</a><br /></td></tr>
<tr class="separator:aaddbfdfea4207d38ab7e2cd3db876bdc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a96db4ff4ba3ea363fafbf6c036c19fae"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a96db4ff4ba3ea363fafbf6c036c19fae">elastic_net_gaussian_predict</a> (float8[] coefficients, float8 intercept, float8[] ind_var)</td></tr>
<tr class="memdesc:a96db4ff4ba3ea363fafbf6c036c19fae"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prediction for linear models use learned coefficients for a given example. <a href="#a96db4ff4ba3ea363fafbf6c036c19fae">More...</a><br /></td></tr>
<tr class="separator:a96db4ff4ba3ea363fafbf6c036c19fae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa78cde79f1f2caa7c5b38f933001d793"><td class="memItemLeft" align="right" valign="top">boolean&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#aa78cde79f1f2caa7c5b38f933001d793">elastic_net_binomial_predict</a> (float8[] coefficients, float8 intercept, float8[] ind_var)</td></tr>
<tr class="memdesc:aa78cde79f1f2caa7c5b38f933001d793"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prediction for logistic models use learned coefficients for a given example. <a href="#aa78cde79f1f2caa7c5b38f933001d793">More...</a><br /></td></tr>
<tr class="separator:aa78cde79f1f2caa7c5b38f933001d793"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="memdesc:a308718fd5234bc1007b971a639aadf71"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute the probability of belonging to the True class for a given observation. <a href="#a308718fd5234bc1007b971a639aadf71">More...</a><br /></td></tr>
<tr class="separator:a308718fd5234bc1007b971a639aadf71"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="separator:ab9b58c238fa59cd8b38a07d3cbfef514"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9f5ed35bd3467280e7d68604046ccebd"><td class="memItemLeft" align="right" valign="top">__elastic_net_result&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a9f5ed35bd3467280e7d68604046ccebd">__gaussian_fista_result</a> (float8[] in_state)</td></tr>
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<tr class="memitem:aa0f3feb438f90eef90ddfc9ad4f3e33e"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#aa0f3feb438f90eef90ddfc9ad4f3e33e">__binomial_igd_transition</a> (float8[] state, float8[] ind_var, boolean dep_var, float8[] pre_state, float8 lambda, float8 alpha, integer dimension, float8 stepsize, integer total_rows, float8[] xmean, float8 ymean, float8 step_decay)</td></tr>
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<tr class="memitem:ae4aed277de996eab9023335413fe9e28"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#ae4aed277de996eab9023335413fe9e28">__binomial_igd_merge</a> (float8[] state1, float8[] state2)</td></tr>
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<tr class="memitem:a39c4af5547dc7f28c189fe5ef8d09ba5"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a39c4af5547dc7f28c189fe5ef8d09ba5">__binomial_igd_final</a> (float8[] state)</td></tr>
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<tr class="memitem:a791a9701c20c65d1e86a1d5c3462b99d"><td class="memItemLeft" align="right" valign="top">aggregate float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a791a9701c20c65d1e86a1d5c3462b99d">__binomial_igd_step</a> (float8[], boolean, float8[], float8, float8, integer, float8, integer, float8[], float8, float8)</td></tr>
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<tr class="memitem:a2968538b152e7f38e71bcff8e55b768e"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a2968538b152e7f38e71bcff8e55b768e">__binomial_igd_state_diff</a> (float8[] state1, float8[] state2)</td></tr>
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<tr class="separator:a93bfe398c91709e7d55ed94d18c6ac23"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a43f125953d105e8ad2243f7c722cf753"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a43f125953d105e8ad2243f7c722cf753">__binomial_fista_transition</a> (float8[] state, float8[] ind_var, boolean dep_var, float8[] pre_state, float8 lambda, float8 alpha, integer dimension, integer total_rows, float8 max_stepsize, float8 eta, integer use_active_set, integer is_active, integer random_stepsize)</td></tr>
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<tr class="memitem:a2284166bacd4b45fb34d50b2d7aec4d4"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a2284166bacd4b45fb34d50b2d7aec4d4">__binomial_fista_merge</a> (float8[] state1, float8[] state2)</td></tr>
<tr class="separator:a2284166bacd4b45fb34d50b2d7aec4d4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af83bb77c4eb5c9f5750f35d56fd39117"><td class="memItemLeft" align="right" valign="top">float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#af83bb77c4eb5c9f5750f35d56fd39117">__binomial_fista_final</a> (float8[] state)</td></tr>
<tr class="separator:af83bb77c4eb5c9f5750f35d56fd39117"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a69a71f6e1f8fb3f7d8ad8b987bd432db"><td class="memItemLeft" align="right" valign="top">aggregate float8 []&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a69a71f6e1f8fb3f7d8ad8b987bd432db">__binomial_fista_step</a> (float8[], boolean, float8[], float8, float8, integer, integer, float8, float8, integer, integer, integer)</td></tr>
<tr class="separator:a69a71f6e1f8fb3f7d8ad8b987bd432db"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aba9d8b5ca783ad4c3d551fd7b2797ade"><td class="memItemLeft" align="right" valign="top">float8&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#aba9d8b5ca783ad4c3d551fd7b2797ade">__binomial_fista_state_diff</a> (float8[] state1, float8[] state2)</td></tr>
<tr class="separator:aba9d8b5ca783ad4c3d551fd7b2797ade"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1e0cc178e025d8eebb0637d97a02f624"><td class="memItemLeft" align="right" valign="top">__elastic_net_result&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="elastic__net_8sql__in.html#a1e0cc178e025d8eebb0637d97a02f624">__binomial_fista_result</a> (float8[] in_state)</td></tr>
<tr class="separator:a1e0cc178e025d8eebb0637d97a02f624"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><dl class="section date"><dt>Date</dt><dd>July 2012</dd></dl>
<dl class="section see"><dt>See also</dt><dd>For a brief introduction to elastic net, see the module description <a class="el" href="group__grp__elasticnet.html">Elastic Net Regularization</a>. </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
<a id="af83bb77c4eb5c9f5750f35d56fd39117"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af83bb77c4eb5c9f5750f35d56fd39117">&#9670;&nbsp;</a></span>__binomial_fista_final()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_fista_final </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a2284166bacd4b45fb34d50b2d7aec4d4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2284166bacd4b45fb34d50b2d7aec4d4">&#9670;&nbsp;</a></span>__binomial_fista_merge()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_fista_merge </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a1e0cc178e025d8eebb0637d97a02f624"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1e0cc178e025d8eebb0637d97a02f624">&#9670;&nbsp;</a></span>__binomial_fista_result()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__elastic_net_result __binomial_fista_result </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>in_state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="aba9d8b5ca783ad4c3d551fd7b2797ade"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aba9d8b5ca783ad4c3d551fd7b2797ade">&#9670;&nbsp;</a></span>__binomial_fista_state_diff()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 __binomial_fista_state_diff </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a69a71f6e1f8fb3f7d8ad8b987bd432db"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a69a71f6e1f8fb3f7d8ad8b987bd432db">&#9670;&nbsp;</a></span>__binomial_fista_step()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __binomial_fista_step </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</div><div class="memdoc">
</div>
</div>
<a id="a43f125953d105e8ad2243f7c722cf753"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a43f125953d105e8ad2243f7c722cf753">&#9670;&nbsp;</a></span>__binomial_fista_transition()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_fista_transition </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>pre_state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>dimension</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>total_rows</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>max_stepsize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>use_active_set</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>is_active</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>random_stepsize</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</div><div class="memdoc">
</div>
</div>
<a id="a39c4af5547dc7f28c189fe5ef8d09ba5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a39c4af5547dc7f28c189fe5ef8d09ba5">&#9670;&nbsp;</a></span>__binomial_igd_final()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_igd_final </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="ae4aed277de996eab9023335413fe9e28"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae4aed277de996eab9023335413fe9e28">&#9670;&nbsp;</a></span>__binomial_igd_merge()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_igd_merge </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a93bfe398c91709e7d55ed94d18c6ac23"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a93bfe398c91709e7d55ed94d18c6ac23">&#9670;&nbsp;</a></span>__binomial_igd_result()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__elastic_net_result __binomial_igd_result </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>in_state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>feature_sq</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>threshold</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>tolerance</em>&#160;</td>
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<tr>
<td></td>
<td>)</td>
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</div>
</div>
<a id="a2968538b152e7f38e71bcff8e55b768e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2968538b152e7f38e71bcff8e55b768e">&#9670;&nbsp;</a></span>__binomial_igd_state_diff()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 __binomial_igd_state_diff </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
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</div><div class="memdoc">
</div>
</div>
<a id="a791a9701c20c65d1e86a1d5c3462b99d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a791a9701c20c65d1e86a1d5c3462b99d">&#9670;&nbsp;</a></span>__binomial_igd_step()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __binomial_igd_step </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="ac1ec74fff164d85cae14969bb0890e11"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac1ec74fff164d85cae14969bb0890e11">&#9670;&nbsp;</a></span>__binomial_igd_step_single_seg()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __binomial_igd_step_single_seg </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="aa0f3feb438f90eef90ddfc9ad4f3e33e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa0f3feb438f90eef90ddfc9ad4f3e33e">&#9670;&nbsp;</a></span>__binomial_igd_transition()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __binomial_igd_transition </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>pre_state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>dimension</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>stepsize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>total_rows</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>xmean</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>ymean</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>step_decay</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a465ca3aeaca43ab1294f82146eb2fc31"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a465ca3aeaca43ab1294f82146eb2fc31">&#9670;&nbsp;</a></span>__elastic_net_binomial_loglikelihood()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 __elastic_net_binomial_loglikelihood </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coefficients</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>intercept</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a9cf4bc6bc719c054cf99436965bbab0c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9cf4bc6bc719c054cf99436965bbab0c">&#9670;&nbsp;</a></span>__gaussian_fista_final()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __gaussian_fista_final </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a35dad39bc1dce3573be2c9cc3f5458b2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a35dad39bc1dce3573be2c9cc3f5458b2">&#9670;&nbsp;</a></span>__gaussian_fista_merge()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __gaussian_fista_merge </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a9f5ed35bd3467280e7d68604046ccebd"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9f5ed35bd3467280e7d68604046ccebd">&#9670;&nbsp;</a></span>__gaussian_fista_result()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__elastic_net_result __gaussian_fista_result </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>in_state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="ab9b58c238fa59cd8b38a07d3cbfef514"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab9b58c238fa59cd8b38a07d3cbfef514">&#9670;&nbsp;</a></span>__gaussian_fista_state_diff()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 __gaussian_fista_state_diff </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a4566cf3ca4587153ab7b57fd741582fe"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4566cf3ca4587153ab7b57fd741582fe">&#9670;&nbsp;</a></span>__gaussian_fista_step()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __gaussian_fista_step </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a87bf3c26c925cfe8d214cc4f8c784613"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a87bf3c26c925cfe8d214cc4f8c784613">&#9670;&nbsp;</a></span>__gaussian_fista_transition()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __gaussian_fista_transition </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>pre_state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>dimension</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>total_rows</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>max_stepsize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>eta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>use_active_set</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>is_active</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>random_stepsize</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a4c5b88fb94d8035e988178a2b67ffa43"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4c5b88fb94d8035e988178a2b67ffa43">&#9670;&nbsp;</a></span>__gaussian_igd_final()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __gaussian_igd_final </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="aba6849a59e2178eb0629d3bfc5abe5da"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aba6849a59e2178eb0629d3bfc5abe5da">&#9670;&nbsp;</a></span>__gaussian_igd_merge()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 [] __gaussian_igd_merge </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a407f4a6063a4eb931a39b23f52d675f1"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a407f4a6063a4eb931a39b23f52d675f1">&#9670;&nbsp;</a></span>__gaussian_igd_result()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">__elastic_net_result __gaussian_igd_result </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>in_state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>feature_sq</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>threshold</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>tolerance</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a244ef9698a82bbd2d28cdce326f8e514"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a244ef9698a82bbd2d28cdce326f8e514">&#9670;&nbsp;</a></span>__gaussian_igd_state_diff()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">float8 __gaussian_igd_state_diff </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a493a8cfa6faf0264c7cf9aa80dc9ffb2"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a493a8cfa6faf0264c7cf9aa80dc9ffb2">&#9670;&nbsp;</a></span>__gaussian_igd_step()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __gaussian_igd_step </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="abd46990f9fd7d216bc7f9e8115f10408"></a>
<h2 class="memtitle"><span class="permalink"><a href="#abd46990f9fd7d216bc7f9e8115f10408">&#9670;&nbsp;</a></span>__gaussian_igd_step_single_seg()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate float8 [] __gaussian_igd_step_single_seg </td>
<td>(</td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">[], </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname">&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
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<h2 class="memtitle"><span class="permalink"><a href="#ad8a31dceade418034918a37c34101c18">&#9670;&nbsp;</a></span>__gaussian_igd_transition()</h2>
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<td class="memname">float8 [] __gaussian_igd_transition </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>state</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>pre_state</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>dimension</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>stepsize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>total_rows</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>xmean</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>ymean</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>step_decay</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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<h2 class="memtitle"><span class="permalink"><a href="#aa78cde79f1f2caa7c5b38f933001d793">&#9670;&nbsp;</a></span>elastic_net_binomial_predict()</h2>
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<td class="memname">boolean elastic_net_binomial_predict </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coefficients</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>intercept</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">coefficients</td><td>Logistic fitting coefficients </td></tr>
<tr><td class="paramname">intercept</td><td>Logistic fitting intercept </td></tr>
<tr><td class="paramname">ind_var</td><td>Features (independent variables)</td></tr>
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<p>returns a boolean value </p>
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<a id="a308718fd5234bc1007b971a639aadf71"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a308718fd5234bc1007b971a639aadf71">&#9670;&nbsp;</a></span>elastic_net_binomial_prob()</h2>
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<td class="memname">float8 elastic_net_binomial_prob </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coefficients</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>intercept</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">coefficients</td><td>Logistic fitting coefficients </td></tr>
<tr><td class="paramname">intercept</td><td>Logistic fitting intercept </td></tr>
<tr><td class="paramname">ind_var</td><td>Features (independent variables)</td></tr>
</table>
</dd>
</dl>
<p>returns a double value, which is the probability of this data point being True class </p>
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<a id="a96db4ff4ba3ea363fafbf6c036c19fae"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a96db4ff4ba3ea363fafbf6c036c19fae">&#9670;&nbsp;</a></span>elastic_net_gaussian_predict()</h2>
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<td class="memname">float8 elastic_net_gaussian_predict </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coefficients</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>intercept</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">coefficients</td><td>Linear fitting coefficients </td></tr>
<tr><td class="paramname">intercept</td><td>Linear fitting intercept </td></tr>
<tr><td class="paramname">ind_var</td><td>Features (independent variables)</td></tr>
</table>
</dd>
</dl>
<p>returns a double value </p>
</div>
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<a id="a3578608204ac9b2d3442ff42977f632b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3578608204ac9b2d3442ff42977f632b">&#9670;&nbsp;</a></span>elastic_net_predict() <span class="overload">[1/2]</span></h2>
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<td class="memname">void elastic_net_predict </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_model</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_new_source</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_id</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_predict</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
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<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">tbl_model</td><td>The result from elastic_net_train </td></tr>
<tr><td class="paramname">tbl_new_source</td><td>Data table </td></tr>
<tr><td class="paramname">col_id</td><td>Unique ID associated with each row </td></tr>
<tr><td class="paramname">tbl_predict</td><td>Prediction result </td></tr>
</table>
</dd>
</dl>
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<a id="aaddbfdfea4207d38ab7e2cd3db876bdc"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aaddbfdfea4207d38ab7e2cd3db876bdc">&#9670;&nbsp;</a></span>elastic_net_predict() <span class="overload">[2/2]</span></h2>
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<td class="memname">float8 elastic_net_predict </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coefficients</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>intercept</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>ind_var</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
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<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">regress_family</td><td>model family </td></tr>
<tr><td class="paramname">coefficients</td><td>The fitting coefficients </td></tr>
<tr><td class="paramname">intercept</td><td>The fitting intercept </td></tr>
<tr><td class="paramname">ind_var</td><td>Features (independent variables) </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>float8</dd></dl>
<p>Note: Please use function <a class="el" href="elastic__net_8sql__in.html#a96db4ff4ba3ea363fafbf6c036c19fae" title="Prediction for linear models use learned coefficients for a given example. ">elastic_net_gaussian_predict()</a> or <a class="el" href="elastic__net_8sql__in.html#aa78cde79f1f2caa7c5b38f933001d793" title="Prediction for logistic models use learned coefficients for a given example. ">elastic_net_binomial_predict()</a> instead if you could. This may be deprecated in the future, as users are confused between this function and the table function with the same name.</p>
<p>When regress_family is 'binomial' or 'logistic', this function returns 1 for True and 0 for False </p>
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<a id="a735038a5090c112505c740a90a203e83"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a735038a5090c112505c740a90a203e83">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[1/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardize</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_col</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>excluded</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>max_iter</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>tolerance</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">tbl_source</td><td>Name of data source table </td></tr>
<tr><td class="paramname">tbl_result</td><td>Name of the table to store the results </td></tr>
<tr><td class="paramname">col_ind_var</td><td>Name of independent variable column, independent variable is an array </td></tr>
<tr><td class="paramname">col_dep_var</td><td>Name of dependent variable column </td></tr>
<tr><td class="paramname">regress_family</td><td>Response type (gaussian or binomial) </td></tr>
<tr><td class="paramname">alpha</td><td>The elastic net parameter, [0, 1] </td></tr>
<tr><td class="paramname">lambda_value</td><td>The regularization parameter </td></tr>
<tr><td class="paramname">standardize</td><td>Whether to normalize the variables (default True) </td></tr>
<tr><td class="paramname">grouping_col</td><td>List of columns on which to apply grouping (currently only a placeholder) </td></tr>
<tr><td class="paramname">optimizer</td><td>The optimization algorithm, 'fista' or 'igd'. Default is 'fista' </td></tr>
<tr><td class="paramname">optimizer_params</td><td>Parameters of the above optimizer, the format is 'arg = value, ...'. Default is NULL </td></tr>
<tr><td class="paramname">excluded</td><td>Which columns to exclude? Default is NULL (applicable only if col_ind_var is set as * or a column of array, column names as 'col1, col2, ...' if col_ind_var is '*'; element indices as '1,2,3, ...' if col_ind_var is a column of array) </td></tr>
<tr><td class="paramname">max_iter</td><td>Maximum number of iterations to run the algorithm (default value of 1000) </td></tr>
<tr><td class="paramname">tolerance</td><td>Iteration stopping criteria. Default is 1e-6 </td></tr>
</table>
</dd>
</dl>
</div>
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<a id="a148de1ad5e1e60b9df3d3af590c06579"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a148de1ad5e1e60b9df3d3af590c06579">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[2/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardization</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_columns</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>excluded</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>max_iter</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
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<a id="a63c8ed415005cc446a59bdc47a09791d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a63c8ed415005cc446a59bdc47a09791d">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[3/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardization</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_columns</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>excluded</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
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<a id="ac26504e7ac55190207758356d821a01a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac26504e7ac55190207758356d821a01a">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[4/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
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<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
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<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
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<td class="paramtype">boolean&#160;</td>
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<td class="paramkey"></td>
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<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_columns</em>, </td>
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<td class="paramname"><em>optimizer</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer_params</em>&#160;</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a7e698f9a0c7a1aa43f4bf9e169dc8b35">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[5/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardization</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_columns</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>optimizer</em>&#160;</td>
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<tr>
<td></td>
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<h2 class="memtitle"><span class="permalink"><a href="#ab54d8862d3ad299aceca4ac2c914437e">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[6/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardization</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>grouping_columns</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a0351b7ed17eccb6db2c0bd61b421458b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0351b7ed17eccb6db2c0bd61b421458b">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[7/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>standardization</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
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<a id="a1a57491bc6b156d575bb93edb986aaa5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1a57491bc6b156d575bb93edb986aaa5">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[8/10]</span></h2>
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<td class="memname">void elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_source</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>tbl_result</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_ind_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>col_dep_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>regress_family</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8&#160;</td>
<td class="paramname"><em>lambda_value</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#add7e2592fb0bd9f2eb1d8b176c80b5d0">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[9/10]</span></h2>
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<td class="memname">text elastic_net_train </td>
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<td class="paramname"></td><td>)</td>
<td></td>
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<h2 class="memtitle"><span class="permalink"><a href="#a6f6ee3def49b5e9a1d3375fe41427dc0">&#9670;&nbsp;</a></span>elastic_net_train() <span class="overload">[10/10]</span></h2>
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<td class="memname">text elastic_net_train </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>family_or_optimizer</em></td><td>)</td>
<td></td>
</tr>
</table>
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<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">family_or_optimizer</td><td>Response type, 'gaussian' or 'binomial', or optimizer type </td></tr>
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