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<title>MADlib: madlib_keras_fit_multiple_model.sql_in File Reference</title>
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<div class="title">madlib_keras_fit_multiple_model.sql_in File Reference</div> </div>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:a4fe23f0e63b992d329bd7f13c305f3ac"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a4fe23f0e63b992d329bd7f13c305f3ac">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus, varchar validation_table, integer metrics_compute_frequency, boolean warm_start, varchar name, varchar description, boolean use_caching=false)</td></tr>
<tr class="separator:a4fe23f0e63b992d329bd7f13c305f3ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3c71501e03430c229df4c47e2ad5c318"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a3c71501e03430c229df4c47e2ad5c318">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus, varchar validation_table, integer metrics_compute_frequency, boolean warm_start, varchar name)</td></tr>
<tr class="separator:a3c71501e03430c229df4c47e2ad5c318"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5d9f7b628c0caead39bc511ed04e470b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a5d9f7b628c0caead39bc511ed04e470b">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus, varchar validation_table, integer metrics_compute_frequency, boolean warm_start)</td></tr>
<tr class="separator:a5d9f7b628c0caead39bc511ed04e470b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9d9b5dfa99c0d20cfbd1f04c0ecb05b9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a9d9b5dfa99c0d20cfbd1f04c0ecb05b9">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus, varchar validation_table, integer metrics_compute_frequency)</td></tr>
<tr class="separator:a9d9b5dfa99c0d20cfbd1f04c0ecb05b9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a422a56ee0e279690699651f01124b131"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a422a56ee0e279690699651f01124b131">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus, varchar validation_table)</td></tr>
<tr class="separator:a422a56ee0e279690699651f01124b131"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adde872404cf7683bd78d64399f65013b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#adde872404cf7683bd78d64399f65013b">madlib_keras_fit_multiple_model</a> (varchar source_table, varchar model_output_table, varchar model_selection_table, integer num_iterations, boolean use_gpus)</td></tr>
<tr class="separator:adde872404cf7683bd78d64399f65013b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1b92fef6fc01f78286f38b84d753d182"><td class="memItemLeft" align="right" valign="top">bytea&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="madlib__keras__fit__multiple__model_8sql__in.html#a1b92fef6fc01f78286f38b84d753d182">fit_transition_multiple_model</a> (bytea[] dependent_var, bytea[] independent_var, integer[] dependent_var_shape, integer[] independent_var_shape, text model_architecture, text compile_params, text fit_params, integer dist_key, integer[] dist_key_mapping, integer current_seg_id, integer[] segments_per_host, integer[] images_per_seg, integer[] accessible_gpus_for_seg, bytea serialized_weights, boolean is_final_training_call, boolean use_caching, bytea custom_function_map)</td></tr>
<tr class="separator:a1b92fef6fc01f78286f38b84d753d182"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
<a id="a1b92fef6fc01f78286f38b84d753d182"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1b92fef6fc01f78286f38b84d753d182">&#9670;&nbsp;</a></span>fit_transition_multiple_model()</h2>
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<td class="memname">bytea fit_transition_multiple_model </td>
<td>(</td>
<td class="paramtype">bytea []&#160;</td>
<td class="paramname"><em>dependent_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bytea []&#160;</td>
<td class="paramname"><em>independent_var</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>dependent_var_shape</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>independent_var_shape</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>model_architecture</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>compile_params</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">text&#160;</td>
<td class="paramname"><em>fit_params</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>dist_key</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>dist_key_mapping</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>current_seg_id</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>segments_per_host</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>images_per_seg</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer []&#160;</td>
<td class="paramname"><em>accessible_gpus_for_seg</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bytea&#160;</td>
<td class="paramname"><em>serialized_weights</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>is_final_training_call</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_caching</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">bytea&#160;</td>
<td class="paramname"><em>custom_function_map</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</div>
</div>
<a id="a4fe23f0e63b992d329bd7f13c305f3ac"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4fe23f0e63b992d329bd7f13c305f3ac">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[1/6]</span></h2>
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<td class="memname">void madlib_keras_fit_multiple_model </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_output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>validation_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>metrics_compute_frequency</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>warm_start</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>name</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>description</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_caching</em> = <code>false</code>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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</div>
</div>
<a id="a3c71501e03430c229df4c47e2ad5c318"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3c71501e03430c229df4c47e2ad5c318">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[2/6]</span></h2>
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<td class="memname">void madlib_keras_fit_multiple_model </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_output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>validation_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>metrics_compute_frequency</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>warm_start</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>name</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a5d9f7b628c0caead39bc511ed04e470b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5d9f7b628c0caead39bc511ed04e470b">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[3/6]</span></h2>
<div class="memitem">
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<tr>
<td class="memname">void madlib_keras_fit_multiple_model </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_output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>validation_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>metrics_compute_frequency</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>warm_start</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a9d9b5dfa99c0d20cfbd1f04c0ecb05b9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9d9b5dfa99c0d20cfbd1f04c0ecb05b9">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[4/6]</span></h2>
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<td class="memname">void madlib_keras_fit_multiple_model </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_output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>validation_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>metrics_compute_frequency</em>&#160;</td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<a id="a422a56ee0e279690699651f01124b131"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a422a56ee0e279690699651f01124b131">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[5/6]</span></h2>
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<td class="memname">void madlib_keras_fit_multiple_model </td>
<td>(</td>
<td class="paramtype">varchar&#160;</td>
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<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>validation_table</em>&#160;</td>
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<h2 class="memtitle"><span class="permalink"><a href="#adde872404cf7683bd78d64399f65013b">&#9670;&nbsp;</a></span>madlib_keras_fit_multiple_model() <span class="overload">[6/6]</span></h2>
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<td class="memname">void madlib_keras_fit_multiple_model </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_output_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">varchar&#160;</td>
<td class="paramname"><em>model_selection_table</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">integer&#160;</td>
<td class="paramname"><em>num_iterations</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">boolean&#160;</td>
<td class="paramname"><em>use_gpus</em>&#160;</td>
</tr>
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