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| |
| <p>SQL functions for naive Bayes. |
| <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:a0671e6ac35a1967f41d2efb9e8417e1b"><td class="memItemLeft" align="right" valign="top">args_and_value_double </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#a0671e6ac35a1967f41d2efb9e8417e1b">argmax_transition</a> (args_and_value_double oldmax, integer newkey, float8 newvalue)</td></tr> |
| <tr class="separator:a0671e6ac35a1967f41d2efb9e8417e1b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab150442ec577f4a0a3948176baf5ebd0"><td class="memItemLeft" align="right" valign="top">args_and_value_double </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#ab150442ec577f4a0a3948176baf5ebd0">argmax_combine</a> (args_and_value_double max1, args_and_value_double max2)</td></tr> |
| <tr class="separator:ab150442ec577f4a0a3948176baf5ebd0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa7017323fd6fad40c9acbbee5f1fec7e"><td class="memItemLeft" align="right" valign="top">integer[] </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#aa7017323fd6fad40c9acbbee5f1fec7e">argmax_final</a> (args_and_value_double finalstate)</td></tr> |
| <tr class="separator:aa7017323fd6fad40c9acbbee5f1fec7e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad47c68a2b8aeedf66d509f0c32a9732d"><td class="memItemLeft" align="right" valign="top">aggregate integer[] </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#ad47c68a2b8aeedf66d509f0c32a9732d">argmax</a> (integer key, float8 value)</td></tr> |
| <tr class="separator:ad47c68a2b8aeedf66d509f0c32a9732d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeb4eae7843dd789cc38d5fc57f4ccfb2"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2">create_nb_prepared_data_tables</a> (varchar trainingSource, varchar trainingClassColumn, varchar trainingAttrColumn, integer numAttrs, varchar featureProbsDestName, varchar classPriorsDestName)</td></tr> |
| <tr class="memdesc:aeb4eae7843dd789cc38d5fc57f4ccfb2"><td class="mdescLeft"> </td><td class="mdescRight">Precompute all class priors and feature probabilities. <a href="#aeb4eae7843dd789cc38d5fc57f4ccfb2">More...</a><br/></td></tr> |
| <tr class="separator:aeb4eae7843dd789cc38d5fc57f4ccfb2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a798402280fc6db710957ae3ab58767e0"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#a798402280fc6db710957ae3ab58767e0">create_nb_classify_view</a> (varchar featureProbsSource, varchar classPriorsSource, varchar classifySource, varchar classifyKeyColumn, varchar classifyAttrColumn, integer numAttrs, varchar destName)</td></tr> |
| <tr class="memdesc:a798402280fc6db710957ae3ab58767e0"><td class="mdescLeft"> </td><td class="mdescRight">Create a view with columns <code>(key, nb_classification)</code> <a href="#a798402280fc6db710957ae3ab58767e0">More...</a><br/></td></tr> |
| <tr class="separator:a798402280fc6db710957ae3ab58767e0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6472f620099368cb8c334e0badb12133"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#a6472f620099368cb8c334e0badb12133">create_nb_classify_view</a> (varchar trainingSource, varchar trainingClassColumn, varchar trainingAttrColumn, varchar classifySource, varchar classifyKeyColumn, varchar classifyAttrColumn, integer numAttrs, varchar destName)</td></tr> |
| <tr class="separator:a6472f620099368cb8c334e0badb12133"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a163afffd0c845d325f060f74bcf02243"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#a163afffd0c845d325f060f74bcf02243">create_nb_probs_view</a> (varchar featureProbsSource, varchar classPriorsSource, varchar classifySource, varchar classifyKeyColumn, varchar classifyAttrColumn, integer numAttrs, varchar destName)</td></tr> |
| <tr class="memdesc:a163afffd0c845d325f060f74bcf02243"><td class="mdescLeft"> </td><td class="mdescRight">Create view with columns <code>(key, class, nb_prob)</code> <a href="#a163afffd0c845d325f060f74bcf02243">More...</a><br/></td></tr> |
| <tr class="separator:a163afffd0c845d325f060f74bcf02243"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aba5d695641530e55b25c8007b77142b9"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#aba5d695641530e55b25c8007b77142b9">create_nb_probs_view</a> (varchar trainingSource, varchar trainingClassColumn, varchar trainingAttrColumn, varchar classifySource, varchar classifyKeyColumn, varchar classifyAttrColumn, integer numAttrs, varchar destName)</td></tr> |
| <tr class="separator:aba5d695641530e55b25c8007b77142b9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae7b5ed9b6ad2f2f882be301bd181ed7f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#ae7b5ed9b6ad2f2f882be301bd181ed7f">create_nb_classify_fn</a> (varchar featureProbsSource, varchar classPriorsSource, integer numAttrs, varchar destName)</td></tr> |
| <tr class="memdesc:ae7b5ed9b6ad2f2f882be301bd181ed7f"><td class="mdescLeft"> </td><td class="mdescRight">Create a SQL function mapping arrays of attribute values to the Naive Bayes classification. <a href="#ae7b5ed9b6ad2f2f882be301bd181ed7f">More...</a><br/></td></tr> |
| <tr class="separator:ae7b5ed9b6ad2f2f882be301bd181ed7f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9c701fb7a33669bb4165084790cc3cfa"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="bayes_8sql__in.html#a9c701fb7a33669bb4165084790cc3cfa">create_nb_classify_fn</a> (varchar trainingSource, varchar trainingClassColumn, varchar trainingAttrColumn, integer numAttrs, varchar destName)</td></tr> |
| <tr class="separator:a9c701fb7a33669bb4165084790cc3cfa"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><dl class="section date"><dt>Date</dt><dd>January 2011</dd></dl> |
| <dl class="section see"><dt>See Also</dt><dd>For a brief introduction to Naive Bayes Classification, see the module description <a class="el" href="group__grp__bayes.html">Naive Bayes Classification</a>. </dd></dl> |
| </div><h2 class="groupheader">Function Documentation</h2> |
| <a class="anchor" id="ad47c68a2b8aeedf66d509f0c32a9732d"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">aggregate integer [] argmax </td> |
| <td>(</td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>key</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>value</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ab150442ec577f4a0a3948176baf5ebd0"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">args_and_value_double argmax_combine </td> |
| <td>(</td> |
| <td class="paramtype">args_and_value_double </td> |
| <td class="paramname"><em>max1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">args_and_value_double </td> |
| <td class="paramname"><em>max2</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aa7017323fd6fad40c9acbbee5f1fec7e"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">integer [] argmax_final </td> |
| <td>(</td> |
| <td class="paramtype">args_and_value_double </td> |
| <td class="paramname"><em>finalstate</em>)</td><td></td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a0671e6ac35a1967f41d2efb9e8417e1b"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">args_and_value_double argmax_transition </td> |
| <td>(</td> |
| <td class="paramtype">args_and_value_double </td> |
| <td class="paramname"><em>oldmax</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>newkey</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float8 </td> |
| <td class="paramname"><em>newvalue</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ae7b5ed9b6ad2f2f882be301bd181ed7f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_classify_fn </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>featureProbsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classPriorsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <p>The created SQL function is bound to the given feature probabilities and class priors. Its declaration will be:</p> |
| <p><code> FUNCTION <em>destName</em> (attributes INTEGER[], smoothingFactor DOUBLE PRECISION) RETURNS INTEGER[]</code></p> |
| <p>The return type is <code>INTEGER</code>[] because the Naive Bayes classification might be ambiguous (in which case all of the most likely candiates are returned).</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">featureProbsSource</td><td>Name of table with precomputed feature probabilities, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">classPriorsSource</td><td>Name of table with precomputed class priors, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">numAttrs</td><td>Number of attributes to use for classification </td></tr> |
| <tr><td class="paramname">destName</td><td>Name of the function to create</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd>Just like <a class="el" href="bayes_8sql__in.html#a6472f620099368cb8c334e0badb12133">create_nb_classify_view</a> and <a class="el" href="bayes_8sql__in.html#aba5d695641530e55b25c8007b77142b9">create_nb_probs_view</a>, also <code>create_nb_classify_fn</code> can be called in an ad-hoc fashion. See <a class="el" href="group__grp__bayes.html">Naive Bayes Classification</a> for instructions.</dd></dl> |
| <dl class="section user"><dt>Usage</dt><dd><ol type="1"> |
| <li>Create classification function: <pre>SELECT create_nb_classify_fn( |
| '<em>featureProbsSource</em>', '<em>classPriorsSource</em>', |
| <em>numAttrs</em>, '<em>destName</em>' |
| );</pre></li> |
| <li>Run classification function: <pre>SELECT <em>destName</em>(<em>attributes</em>, <em>smoothingFactor</em>);</pre></li> |
| </ol> |
| </dd></dl> |
| <dl class="section note"><dt>Note</dt><dd>On Greenplum, the generated SQL function can only be called on the master. </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9c701fb7a33669bb4165084790cc3cfa"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_classify_fn </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingClassColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a798402280fc6db710957ae3ab58767e0"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_classify_view </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>featureProbsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classPriorsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifySource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyKeyColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <p>The created relation will be</p> |
| <p><code>{TABLE|VIEW} <em>destName</em> (key, nb_classification)</code></p> |
| <p>where <code>nb_classification</code> is an array containing the most likely class(es) of the record in <em>classifySource</em> identified by <code>key</code>.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">featureProbsSource</td><td>Name of table with precomputed feature probabilities, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">classPriorsSource</td><td>Name of table with precomputed class priors, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">classifySource</td><td>Name of the relation that contains data to be classified </td></tr> |
| <tr><td class="paramname">classifyKeyColumn</td><td>Name of column in <em>classifySource</em> that can serve as unique identifier (the key of the source relation) </td></tr> |
| <tr><td class="paramname">classifyAttrColumn</td><td>Name of attributes-array column in <em>classifySource</em> </td></tr> |
| <tr><td class="paramname">numAttrs</td><td>Number of attributes to use for classification </td></tr> |
| <tr><td class="paramname">destName</td><td>Name of the view to create</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd><code>create_nb_classify_view</code> can be called in an ad-hoc fashion. See <a class="el" href="group__grp__bayes.html">Naive Bayes Classification</a> for instructions.</dd></dl> |
| <dl class="section user"><dt>Usage</dt><dd><ol type="1"> |
| <li>Create Naive Bayes classifications view: <pre>SELECT <a class="el" href="bayes_8sql__in.html#a6472f620099368cb8c334e0badb12133">create_nb_classify_view</a>( |
| '<em>featureProbsName</em>', '<em>classPriorsName</em>', |
| '<em>classifySource</em>', '<em>classifyKeyColumn</em>', '<em>classifyAttrColumn</em>', |
| <em>numAttrs</em>, '<em>destName</em>' |
| );</pre></li> |
| <li>Show Naive Bayes classifications: <pre>SELECT * FROM <em>destName</em>;</pre> </li> |
| </ol> |
| </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a6472f620099368cb8c334e0badb12133"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_classify_view </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingClassColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifySource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyKeyColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aeb4eae7843dd789cc38d5fc57f4ccfb2"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_prepared_data_tables </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingClassColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>featureProbsDestName</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classPriorsDestName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <p>Feature probabilities are stored in a table of format </p> |
| <pre>TABLE <em>featureProbsDestName</em> ( |
| class INTEGER, |
| attr INTEGER, |
| value INTEGER, |
| cnt INTEGER, |
| attr_cnt INTEGER |
| )</pre><p>Class priors are stored in a table of format </p> |
| <pre>TABLE <em>classPriorsDestName</em> ( |
| class INTEGER, |
| class_cnt INTEGER, |
| all_cnt INTEGER |
| )</pre><dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">trainingSource</td><td>Name of relation containing the training data </td></tr> |
| <tr><td class="paramname">trainingClassColumn</td><td>Name of class column in training data </td></tr> |
| <tr><td class="paramname">trainingAttrColumn</td><td>Name of attributes-array column in training data </td></tr> |
| <tr><td class="paramname">numAttrs</td><td>Number of attributes to use for classification </td></tr> |
| <tr><td class="paramname">featureProbsDestName</td><td>Name of feature-probabilities table to create </td></tr> |
| <tr><td class="paramname">classPriorsDestName</td><td>Name of class-priors table to create</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section user"><dt>Usage</dt><dd>Precompute feature probabilities and class priors: <pre>SELECT <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2">create_nb_prepared_data_tables</a>( |
| '<em>trainingSource</em>', '<em>trainingClassColumn</em>', '<em>trainingAttrColumn</em>', |
| <em>numAttrs</em>, '<em>featureProbsName</em>', '<em>classPriorsName</em>' |
| );</pre> </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a163afffd0c845d325f060f74bcf02243"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_probs_view </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>featureProbsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classPriorsSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifySource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyKeyColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <p>The created view will be of the following form:</p> |
| <pre>VIEW <em>destName</em> ( |
| key ANYTYPE, |
| class INTEGER, |
| nb_prob FLOAT8 |
| )</pre><p>where <code>nb_prob</code> is the Naive-Bayes probability that <code>class</code> is the true class of the record in <em>classifySource</em> identified by <code>key</code>.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">featureProbsSource</td><td>Name of table with precomputed feature probabilities, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">classPriorsSource</td><td>Name of table with precomputed class priors, as created with <a class="el" href="bayes_8sql__in.html#aeb4eae7843dd789cc38d5fc57f4ccfb2" title="Precompute all class priors and feature probabilities. ">create_nb_prepared_data_tables()</a> </td></tr> |
| <tr><td class="paramname">classifySource</td><td>Name of the relation that contains data to be classified </td></tr> |
| <tr><td class="paramname">classifyKeyColumn</td><td>Name of column in <em>classifySource</em> that can serve as unique identifier (the key of the source relation) </td></tr> |
| <tr><td class="paramname">classifyAttrColumn</td><td>Name of attributes-array column in <em>classifySource</em> </td></tr> |
| <tr><td class="paramname">numAttrs</td><td>Number of attributes to use for classification </td></tr> |
| <tr><td class="paramname">destName</td><td>Name of the view to create</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section note"><dt>Note</dt><dd><code>create_nb_probs_view</code> can be called in an ad-hoc fashion. See <a class="el" href="group__grp__bayes.html">Naive Bayes Classification</a> for instructions.</dd></dl> |
| <dl class="section user"><dt>Usage</dt><dd><ol type="1"> |
| <li>Create Naive Bayes probabilities view: <pre>SELECT <a class="el" href="bayes_8sql__in.html#aba5d695641530e55b25c8007b77142b9">create_nb_probs_view</a>( |
| '<em>featureProbsName</em>', '<em>classPriorsName</em>', |
| '<em>classifySource</em>', '<em>classifyKeyColumn</em>', '<em>classifyAttrColumn</em>', |
| <em>numAttrs</em>, '<em>destName</em>' |
| );</pre></li> |
| <li>Show Naive Bayes probabilities: <pre>SELECT * FROM <em>destName</em>;</pre> </li> |
| </ol> |
| </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aba5d695641530e55b25c8007b77142b9"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void create_nb_probs_view </td> |
| <td>(</td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingSource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingClassColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>trainingAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifySource</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyKeyColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>classifyAttrColumn</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">integer </td> |
| <td class="paramname"><em>numAttrs</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">varchar </td> |
| <td class="paramname"><em>destName</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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