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<p>SQL functions for GLM (Poisson)
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Functions</h2></td></tr>
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<tr class="memdesc:a93d7d8b202654b86917bf9e997d0ad6f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Predict the estimated mean value for the response variable given a specific predictor variable value in a generalized linear model. <a href="#a93d7d8b202654b86917bf9e997d0ad6f">More...</a><br /></td></tr>
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<tr class="memdesc:ac645a2cc2aa22eac90dee923593eb72d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Predict the output category for the response variable given a specific predictor variable value in a generalized linear model. <a href="#ac645a2cc2aa22eac90dee923593eb72d">More...</a><br /></td></tr>
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<tr class="memdesc:a941d49196e573048852def804c5ce4c4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Predict the estimated count for the response variable given a specific predictor variable value in a generalized linear model. <a href="#a941d49196e573048852def804c5ce4c4">More...</a><br /></td></tr>
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<tr class="memitem:a9a468186034a936c3997cad22b03cafe"><td class="memItemLeft" align="right" valign="top">text&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="glm_8sql__in.html#a9a468186034a936c3997cad22b03cafe">glm_predict_binomial</a> (text message)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><dl class="section date"><dt>Date</dt><dd>June 2014</dd></dl>
<dl class="section see"><dt>See also</dt><dd>For a brief introduction to GLM (Poisson), see the module description grp_poisson. </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
<a id="a6e5d4b66896ec8b10d0aff46d4de50ce"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6e5d4b66896ec8b10d0aff46d4de50ce">&#9670;&nbsp;</a></span>__glm_binomial_logit_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_binomial_logit_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#afd34074de9267aff541ff3207907cc3a">&#9670;&nbsp;</a></span>__glm_binomial_logit_transition()</h2>
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<td class="memname">bytea8 __glm_binomial_logit_transition </td>
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<h2 class="memtitle"><span class="permalink"><a href="#ae3bdd5b1c8b963488bc9633807295630">&#9670;&nbsp;</a></span>__glm_binomial_probit_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_binomial_probit_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a0680d2db1d03d34a39c3e2e7100a52e7">&#9670;&nbsp;</a></span>__glm_binomial_probit_transition()</h2>
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<td class="memname">bytea8 __glm_binomial_probit_transition </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a7e32144641562f061625c4d211912a01">&#9670;&nbsp;</a></span>__glm_final()</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#adfbdbca61a165aff83ef53356da73a3e">&#9670;&nbsp;</a></span>__glm_gamma_identity_agg()</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a64e74bd1f88b9e42db89a00edac0373a">&#9670;&nbsp;</a></span>__glm_gamma_identity_transition()</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a2177e1ed1d58d238528a407fce6d52fb">&#9670;&nbsp;</a></span>__glm_gamma_inverse_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_gamma_inverse_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#aaa373b5854856d2b4761cc843ab5011a">&#9670;&nbsp;</a></span>__glm_gamma_inverse_transition()</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a7d6f215077e51c95a193880edf67f574">&#9670;&nbsp;</a></span>__glm_gamma_log_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_gamma_log_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a904065c82d2d2275413377a28115853f">&#9670;&nbsp;</a></span>__glm_gamma_log_transition()</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a33377c70ad934fdcea9206a9ef2ccf1c">&#9670;&nbsp;</a></span>__glm_gaussian_identity_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_gaussian_identity_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#aa181df655a47f71f0ce0388ce112282b">&#9670;&nbsp;</a></span>__glm_gaussian_identity_transition()</h2>
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<td class="memname">bytea8 __glm_gaussian_identity_transition </td>
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<a id="a0328f64e64a88cc82c09b4b05ee4256a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0328f64e64a88cc82c09b4b05ee4256a">&#9670;&nbsp;</a></span>__glm_gaussian_inverse_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_gaussian_inverse_agg </td>
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<a id="a695c305abf7d59e224b7c7a05364b534"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a695c305abf7d59e224b7c7a05364b534">&#9670;&nbsp;</a></span>__glm_gaussian_inverse_transition()</h2>
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<td class="memname">bytea8 __glm_gaussian_inverse_transition </td>
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<td class="paramtype">float8&#160;</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a1dfe1977eb90fb628cbc0b722bb29403">&#9670;&nbsp;</a></span>__glm_gaussian_log_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_gaussian_log_agg </td>
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<a id="a6aa9b05a9e74e3bf5e9121ec58bffe4f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6aa9b05a9e74e3bf5e9121ec58bffe4f">&#9670;&nbsp;</a></span>__glm_gaussian_log_transition()</h2>
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<td class="memname">bytea8 __glm_gaussian_log_transition </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a63f861e73f6ffe5f4a92e4d3bd75cc84">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_identity_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_inverse_gaussian_identity_agg </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a4a613bda22c8686a28afb47260ccabc9">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_identity_transition()</h2>
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<td class="memname">bytea8 __glm_inverse_gaussian_identity_transition </td>
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<h2 class="memtitle"><span class="permalink"><a href="#a60fb24d4a39f4f98666320b8fc11965c">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_inverse_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_inverse_gaussian_inverse_agg </td>
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<a id="a8473dca909f252c2a7d60368ffbb5977"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a8473dca909f252c2a7d60368ffbb5977">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_inverse_transition()</h2>
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<td class="memname">bytea8 __glm_inverse_gaussian_inverse_transition </td>
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<a id="a68be2c4fabab9720636435dcebed5c10"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a68be2c4fabab9720636435dcebed5c10">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_log_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_inverse_gaussian_log_agg </td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a3f4c78c4c52b01251307f24e077e92ff"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3f4c78c4c52b01251307f24e077e92ff">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_log_transition()</h2>
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<td class="memname">bytea8 __glm_inverse_gaussian_log_transition </td>
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<td class="paramtype">bytea8&#160;</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a9b884108c457cb5881770176115f2661">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_sqr_inverse_agg()</h2>
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<td class="memname">aggregate bytea8 __glm_inverse_gaussian_sqr_inverse_agg </td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a5d4b8d33917e42124a44b30db557940a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5d4b8d33917e42124a44b30db557940a">&#9670;&nbsp;</a></span>__glm_inverse_gaussian_sqr_inverse_transition()</h2>
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<td class="memname">bytea8 __glm_inverse_gaussian_sqr_inverse_transition </td>
<td>(</td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a7e84e1d4351a72ea9ecc61db175891ea"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a7e84e1d4351a72ea9ecc61db175891ea">&#9670;&nbsp;</a></span>__glm_loglik_diff()</h2>
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<tr>
<td class="memname">float8 __glm_loglik_diff </td>
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<a id="ace09cf40c436db6c065ef2606781cc93"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ace09cf40c436db6c065ef2606781cc93">&#9670;&nbsp;</a></span>__glm_merge_states()</h2>
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<td class="memname">bytea8 __glm_merge_states </td>
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<td class="paramtype">bytea8&#160;</td>
<td class="paramname"><em>state2</em>&#160;</td>
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<a id="aff5070482e51bf7ce3704febfa8f3b58"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aff5070482e51bf7ce3704febfa8f3b58">&#9670;&nbsp;</a></span>__glm_poisson_identity_agg()</h2>
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<div class="memproto">
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<td class="memname">aggregate bytea8 __glm_poisson_identity_agg </td>
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<a id="a041ee0e1e80ea5cf07f39b8c13f8accb"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a041ee0e1e80ea5cf07f39b8c13f8accb">&#9670;&nbsp;</a></span>__glm_poisson_identity_transition()</h2>
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<td class="memname">bytea8 __glm_poisson_identity_transition </td>
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<td class="paramtype">float8&#160;</td>
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<td class="paramtype">float8&#160;</td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a504fa161f5dde9155dd962456597a5c6"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a504fa161f5dde9155dd962456597a5c6">&#9670;&nbsp;</a></span>__glm_poisson_log_agg()</h2>
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<tr>
<td class="memname">aggregate bytea8 __glm_poisson_log_agg </td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a48ccc5647dc8d0b6211ae3445d7d533e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a48ccc5647dc8d0b6211ae3445d7d533e">&#9670;&nbsp;</a></span>__glm_poisson_log_transition()</h2>
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<td class="memname">bytea8 __glm_poisson_log_transition </td>
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<td></td>
<td class="paramtype">float8&#160;</td>
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<td></td>
<td class="paramtype">float8&#160;</td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="a051510c3a79c019749fd3f04db41c438"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a051510c3a79c019749fd3f04db41c438">&#9670;&nbsp;</a></span>__glm_poisson_sqrt_agg()</h2>
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<div class="memproto">
<table class="memname">
<tr>
<td class="memname">aggregate bytea8 __glm_poisson_sqrt_agg </td>
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<td class="paramtype">float8 []&#160;</td>
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<td class="paramtype">bytea8&#160;</td>
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<a id="aa6b93dd92e49df7e3202db15d9e50c6c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa6b93dd92e49df7e3202db15d9e50c6c">&#9670;&nbsp;</a></span>__glm_poisson_sqrt_transition()</h2>
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<td class="memname">bytea8 __glm_poisson_sqrt_transition </td>
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<td></td>
<td class="paramtype">float8&#160;</td>
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<td></td>
<td class="paramtype">float8&#160;</td>
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<a id="a3b7f6999ae949831f33e355ec28b1f79"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3b7f6999ae949831f33e355ec28b1f79">&#9670;&nbsp;</a></span>__glm_result_t_stats()</h2>
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<td class="memname">__glm_result_type __glm_result_t_stats </td>
<td>(</td>
<td class="paramtype">bytea8&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
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<h2 class="memtitle"><span class="permalink"><a href="#a0fb8358e0b92c9d9883eaea281a1ba5f">&#9670;&nbsp;</a></span>__glm_result_z_stats()</h2>
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<td class="memname">__glm_result_type __glm_result_z_stats </td>
<td>(</td>
<td class="paramtype">bytea8&#160;</td>
<td class="paramname"><em>state</em></td><td>)</td>
<td></td>
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</table>
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<h2 class="memtitle"><span class="permalink"><a href="#a3f8eb219013e05675626acb8cf4612cc">&#9670;&nbsp;</a></span>glm() <span class="overload">[1/6]</span></h2>
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<td class="memname">void glm </td>
<td>(</td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>source_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>dependent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>independent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>family_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>grouping_col</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>optim_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>verbose</em>&#160;</td>
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<tr>
<td></td>
<td>)</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a79c8b3660f49977fd3537de1db2e60ba">&#9670;&nbsp;</a></span>glm() <span class="overload">[2/6]</span></h2>
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<td class="memname">void glm </td>
<td>(</td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>source_table</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>dependent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>independent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>family_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>grouping_col</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>optim_params</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</table>
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<h2 class="memtitle"><span class="permalink"><a href="#a98f75815c048dd6ec06842f00ef08f2a">&#9670;&nbsp;</a></span>glm() <span class="overload">[3/6]</span></h2>
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<td class="memname">void glm </td>
<td>(</td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>source_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>dependent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>independent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>family_params</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>grouping_col</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</table>
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<h2 class="memtitle"><span class="permalink"><a href="#a4938524efbef7684ce8a8e2646f126ef">&#9670;&nbsp;</a></span>glm() <span class="overload">[4/6]</span></h2>
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<td class="memname">void glm </td>
<td>(</td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>source_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>dependent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>independent_varname</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>family_params</em>&#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="#a5887e1ae0feabbbfc93e67ab4447f4bd">&#9670;&nbsp;</a></span>glm() <span class="overload">[5/6]</span></h2>
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<td class="memname">text glm </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>message</em></td><td>)</td>
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<h2 class="memtitle"><span class="permalink"><a href="#ac70223628f2b8fc5e86e295f9d6512ae">&#9670;&nbsp;</a></span>glm() <span class="overload">[6/6]</span></h2>
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<td class="memname">text glm </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a93d7d8b202654b86917bf9e997d0ad6f">&#9670;&nbsp;</a></span>glm_predict() <span class="overload">[1/3]</span></h2>
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<td class="memname">float8 glm_predict </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coef</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#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>link</em>&#160;</td>
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<td></td>
<td>)</td>
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</table>
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<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">coef</td><td>Coefficients obtained by running generalized linear model. </td></tr>
<tr><td class="paramname">col_ind</td><td>Predictor variable array </td></tr>
<tr><td class="paramname">link</td><td>Link function used in training. Can be one of probit/logit </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Numeric value of the predicted mean</dd></dl>
<p>This function computes the dot product of the independent variables and the coefficients. This requires the length of the two vectors to be the same. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#add7c22acc8eaaa3eace7089eadc5f367">&#9670;&nbsp;</a></span>glm_predict() <span class="overload">[2/3]</span></h2>
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<td class="memname">text glm_predict </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>message</em></td><td>)</td>
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<a id="aa42b3ee4e9c39132154dfa81f96ed4ff"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa42b3ee4e9c39132154dfa81f96ed4ff">&#9670;&nbsp;</a></span>glm_predict() <span class="overload">[3/3]</span></h2>
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<td class="memname">text glm_predict </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
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<a id="ac645a2cc2aa22eac90dee923593eb72d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac645a2cc2aa22eac90dee923593eb72d">&#9670;&nbsp;</a></span>glm_predict_binomial() <span class="overload">[1/2]</span></h2>
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<td class="memname">boolean glm_predict_binomial </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coef</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#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>link</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">coef</td><td>Coefficients obtained by running generalized linear model. </td></tr>
<tr><td class="paramname">col_ind</td><td>Predictor variable array </td></tr>
<tr><td class="paramname">link</td><td>Link function used in training. Can be one of probit/logit. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>True/False Boolean value corresponding to output category True if predicted probability &gt;= 0.5, False otherwise</dd></dl>
<p>This function computes the dot product of the independent variables and the coefficients. This requires the length of the two vectors to be the same. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a9a468186034a936c3997cad22b03cafe">&#9670;&nbsp;</a></span>glm_predict_binomial() <span class="overload">[2/2]</span></h2>
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<td class="memname">text glm_predict_binomial </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>message</em></td><td>)</td>
<td></td>
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</div><div class="memdoc">
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<a id="a941d49196e573048852def804c5ce4c4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a941d49196e573048852def804c5ce4c4">&#9670;&nbsp;</a></span>glm_predict_poisson() <span class="overload">[1/2]</span></h2>
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<td class="memname">float8 glm_predict_poisson </td>
<td>(</td>
<td class="paramtype">float8 []&#160;</td>
<td class="paramname"><em>coef</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float8 []&#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>link</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">coef</td><td>Coefficients obtained by running generalized linear model. </td></tr>
<tr><td class="paramname">col_ind</td><td>Predictor variable array </td></tr>
<tr><td class="paramname">link</td><td>Link function used in training </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Numeric value of the predicted count, obtained by rounding the predicted mean to the nearest integral value.</dd></dl>
<p>This function computes the dot product of the independent variables and the coefficients. This requires the length of the two vectors to be the same. </p>
</div>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#aeb1962c5b1bdd12ae3111bc93fa2967e">&#9670;&nbsp;</a></span>glm_predict_poisson() <span class="overload">[2/2]</span></h2>
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<td class="memname">text glm_predict_poisson </td>
<td>(</td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>message</em></td><td>)</td>
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