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gerrit-public.fairphone.software / platform / external / python / google-api-python-client / 84e4180c0b4b453ee9fc59f026e00631bc7af2d2 / . / docs / dyn / prediction.v1.5.trainedmodels.html
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<html><head><title>Python: class Resource</title>
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<td colspan=3 valign=bottom>&nbsp;<br>
<font color="#000000" face="helvetica, arial"><a name="Resource">class <strong>Resource</strong></a>(<a href="__builtin__.html#object">__builtin__.object</a>)</font></td></tr>
<tr bgcolor="#ffc8d8"><td rowspan=2><tt>&nbsp;&nbsp;&nbsp;</tt></td>
<td colspan=2><tt>A&nbsp;class&nbsp;for&nbsp;interacting&nbsp;with&nbsp;a&nbsp;resource.<br>&nbsp;</tt></td></tr>
<tr><td>&nbsp;</td>
<td width="100%">Methods defined here:<br>
<dl><dt><a name="Resource-__init__"><strong>__init__</strong></a>(self)</dt></dl>
<dl><dt><a name="Resource-analyze"><strong>analyze</strong></a> = method(self, **kwargs)</dt><dd><tt>Get&nbsp;analysis&nbsp;of&nbsp;the&nbsp;model&nbsp;and&nbsp;the&nbsp;data&nbsp;the&nbsp;model&nbsp;was&nbsp;trained&nbsp;on.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;id:&nbsp;string,&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.&nbsp;(required)<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#analyze",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"errors":&nbsp;[&nbsp;#&nbsp;List&nbsp;of&nbsp;errors&nbsp;with&nbsp;the&nbsp;data.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;"dataDescription":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;data&nbsp;the&nbsp;model&nbsp;was&nbsp;trained&nbsp;on.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"outputFeature":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;output&nbsp;value&nbsp;or&nbsp;label.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"text":&nbsp;[&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;output&nbsp;labels&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;times&nbsp;the&nbsp;output&nbsp;label&nbsp;occurred&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"value":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;output&nbsp;label.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numeric":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;output&nbsp;values&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;numeric&nbsp;output&nbsp;values&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"variance":&nbsp;3.14,&nbsp;#&nbsp;Variance&nbsp;of&nbsp;the&nbsp;output&nbsp;values&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"mean":&nbsp;3.14,&nbsp;#&nbsp;Mean&nbsp;of&nbsp;the&nbsp;output&nbsp;values&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"features":&nbsp;[&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;input&nbsp;features&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"index":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;feature&nbsp;index.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"text":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;multiple-word&nbsp;text&nbsp;values&nbsp;of&nbsp;this&nbsp;feature.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;multiple-word&nbsp;text&nbsp;values&nbsp;for&nbsp;this&nbsp;feature.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numeric":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;numeric&nbsp;values&nbsp;of&nbsp;this&nbsp;feature.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;numeric&nbsp;values&nbsp;for&nbsp;this&nbsp;feature&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"variance":&nbsp;3.14,&nbsp;#&nbsp;Variance&nbsp;of&nbsp;the&nbsp;numeric&nbsp;values&nbsp;of&nbsp;this&nbsp;feature&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"mean":&nbsp;3.14,&nbsp;#&nbsp;Mean&nbsp;of&nbsp;the&nbsp;numeric&nbsp;values&nbsp;of&nbsp;this&nbsp;feature&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"categorical":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;categorical&nbsp;values&nbsp;of&nbsp;this&nbsp;feature.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;categorical&nbsp;values&nbsp;for&nbsp;this&nbsp;feature&nbsp;in&nbsp;the&nbsp;data.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"values":&nbsp;[&nbsp;#&nbsp;List&nbsp;of&nbsp;all&nbsp;the&nbsp;categories&nbsp;for&nbsp;this&nbsp;feature&nbsp;in&nbsp;the&nbsp;data&nbsp;set.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"count":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;times&nbsp;this&nbsp;feature&nbsp;had&nbsp;this&nbsp;value.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"value":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;category&nbsp;name.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;"modelDescription":&nbsp;{&nbsp;#&nbsp;Description&nbsp;of&nbsp;the&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"confusionMatrixRowTotals":&nbsp;{&nbsp;#&nbsp;A&nbsp;list&nbsp;of&nbsp;the&nbsp;confusion&nbsp;matrix&nbsp;row&nbsp;totals<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"confusionMatrix":&nbsp;{&nbsp;#&nbsp;An&nbsp;output&nbsp;confusion&nbsp;matrix.&nbsp;This&nbsp;shows&nbsp;an&nbsp;estimate&nbsp;for&nbsp;how&nbsp;this&nbsp;model&nbsp;will&nbsp;do&nbsp;in&nbsp;predictions.&nbsp;This&nbsp;is&nbsp;first&nbsp;indexed&nbsp;by&nbsp;the&nbsp;true&nbsp;class&nbsp;label.&nbsp;For&nbsp;each&nbsp;true&nbsp;class&nbsp;label,&nbsp;this&nbsp;provides&nbsp;a&nbsp;pair&nbsp;{predicted_label,&nbsp;count},&nbsp;where&nbsp;count&nbsp;is&nbsp;the&nbsp;estimated&nbsp;number&nbsp;of&nbsp;times&nbsp;the&nbsp;model&nbsp;will&nbsp;predict&nbsp;the&nbsp;predicted&nbsp;label&nbsp;given&nbsp;the&nbsp;true&nbsp;label.&nbsp;Will&nbsp;not&nbsp;output&nbsp;if&nbsp;more&nbsp;then&nbsp;100&nbsp;classes&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelinfo":&nbsp;{&nbsp;#&nbsp;Basic&nbsp;information&nbsp;about&nbsp;the&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;}</tt></dd></dl>
<dl><dt><a name="Resource-delete"><strong>delete</strong></a> = method(self, **kwargs)</dt><dd><tt>Delete&nbsp;a&nbsp;trained&nbsp;model.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;id:&nbsp;string,&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.&nbsp;(required)</tt></dd></dl>
<dl><dt><a name="Resource-get"><strong>get</strong></a> = method(self, **kwargs)</dt><dd><tt>Check&nbsp;training&nbsp;status&nbsp;of&nbsp;your&nbsp;model.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;id:&nbsp;string,&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.&nbsp;(required)<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;}</tt></dd></dl>
<dl><dt><a name="Resource-insert"><strong>insert</strong></a> = method(self, **kwargs)</dt><dd><tt>Begin&nbsp;training&nbsp;your&nbsp;model.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;body:&nbsp;object,&nbsp;The&nbsp;request&nbsp;body.&nbsp;(required)<br>
&nbsp;&nbsp;&nbsp;&nbsp;The&nbsp;object&nbsp;takes&nbsp;the&nbsp;form&nbsp;of:<br>
&nbsp;<br>
{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;}<br>
&nbsp;<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;}</tt></dd></dl>
<dl><dt><a name="Resource-list"><strong>list</strong></a> = method(self, **kwargs)</dt><dd><tt>List&nbsp;available&nbsp;models.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;pageToken:&nbsp;string,&nbsp;Pagination&nbsp;token<br>
&nbsp;&nbsp;maxResults:&nbsp;integer,&nbsp;Maximum&nbsp;number&nbsp;of&nbsp;results&nbsp;to&nbsp;return<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"nextPageToken":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Pagination&nbsp;token&nbsp;to&nbsp;fetch&nbsp;the&nbsp;next&nbsp;page,&nbsp;if&nbsp;one&nbsp;exists.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"items":&nbsp;[&nbsp;#&nbsp;List&nbsp;of&nbsp;models.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#list",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;}</tt></dd></dl>
<dl><dt><a name="Resource-list_next"><strong>list_next</strong></a> = methodNext(self, previous_request, previous_response)</dt><dd><tt>Retrieves&nbsp;the&nbsp;next&nbsp;page&nbsp;of&nbsp;results.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;previous_request:&nbsp;The&nbsp;request&nbsp;for&nbsp;the&nbsp;previous&nbsp;page.<br>
&nbsp;&nbsp;previous_response:&nbsp;The&nbsp;response&nbsp;from&nbsp;the&nbsp;request&nbsp;for&nbsp;the&nbsp;previous&nbsp;page.<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;A&nbsp;request&nbsp;object&nbsp;that&nbsp;you&nbsp;can&nbsp;call&nbsp;'execute()'&nbsp;on&nbsp;to&nbsp;request&nbsp;the&nbsp;next<br>
&nbsp;&nbsp;page.&nbsp;Returns&nbsp;None&nbsp;if&nbsp;there&nbsp;are&nbsp;no&nbsp;more&nbsp;items&nbsp;in&nbsp;the&nbsp;collection.</tt></dd></dl>
<dl><dt><a name="Resource-predict"><strong>predict</strong></a> = method(self, **kwargs)</dt><dd><tt>Submit&nbsp;model&nbsp;id&nbsp;and&nbsp;request&nbsp;a&nbsp;prediction.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;body:&nbsp;object,&nbsp;The&nbsp;request&nbsp;body.&nbsp;(required)<br>
&nbsp;&nbsp;&nbsp;&nbsp;The&nbsp;object&nbsp;takes&nbsp;the&nbsp;form&nbsp;of:<br>
&nbsp;<br>
{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"input":&nbsp;{&nbsp;#&nbsp;Input&nbsp;to&nbsp;the&nbsp;model&nbsp;for&nbsp;a&nbsp;prediction<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"csvInstance":&nbsp;[&nbsp;#&nbsp;A&nbsp;list&nbsp;of&nbsp;input&nbsp;features,&nbsp;these&nbsp;can&nbsp;be&nbsp;strings&nbsp;or&nbsp;doubles.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"",<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;}<br>
&nbsp;<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;id:&nbsp;string,&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.&nbsp;(required)<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#output",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"outputLabel":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;most&nbsp;likely&nbsp;class&nbsp;label&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;"outputMulti":&nbsp;[&nbsp;#&nbsp;A&nbsp;list&nbsp;of&nbsp;class&nbsp;labels&nbsp;with&nbsp;their&nbsp;estimated&nbsp;probabilities&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"score":&nbsp;3.14,&nbsp;#&nbsp;The&nbsp;probability&nbsp;of&nbsp;the&nbsp;class&nbsp;label.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"label":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;class&nbsp;label.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;"outputValue":&nbsp;3.14,&nbsp;#&nbsp;The&nbsp;estimated&nbsp;regression&nbsp;value&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;}</tt></dd></dl>
<dl><dt><a name="Resource-update"><strong>update</strong></a> = method(self, **kwargs)</dt><dd><tt>Add&nbsp;new&nbsp;data&nbsp;to&nbsp;a&nbsp;trained&nbsp;model.<br>
&nbsp;<br>
Args:<br>
&nbsp;&nbsp;body:&nbsp;object,&nbsp;The&nbsp;request&nbsp;body.&nbsp;(required)<br>
&nbsp;&nbsp;&nbsp;&nbsp;The&nbsp;object&nbsp;takes&nbsp;the&nbsp;form&nbsp;of:<br>
&nbsp;<br>
{<br>
&nbsp;&nbsp;&nbsp;&nbsp;"csvInstance":&nbsp;[&nbsp;#&nbsp;The&nbsp;input&nbsp;features&nbsp;for&nbsp;this&nbsp;instance<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"",<br>
&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;"label":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;true&nbsp;class&nbsp;label&nbsp;of&nbsp;this&nbsp;instance<br>
&nbsp;&nbsp;}<br>
&nbsp;<br>
&nbsp;&nbsp;pp:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;trace:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;strict:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;userip:&nbsp;string,&nbsp;A&nbsp;parameter<br>
&nbsp;&nbsp;id:&nbsp;string,&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.&nbsp;(required)<br>
&nbsp;<br>
Returns:<br>
&nbsp;&nbsp;An&nbsp;object&nbsp;of&nbsp;the&nbsp;form<br>
&nbsp;<br>
&nbsp;&nbsp;&nbsp;&nbsp;{<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"kind":&nbsp;"prediction#training",&nbsp;#&nbsp;What&nbsp;kind&nbsp;of&nbsp;resource&nbsp;this&nbsp;is.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"created":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Insert&nbsp;time&nbsp;of&nbsp;the&nbsp;model&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingComplete":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Training&nbsp;completion&nbsp;time&nbsp;(as&nbsp;a&nbsp;<a href="http://www.rfc-editor.org/rfc/rfc3339.txt">RFC&nbsp;3339</a>&nbsp;timestamp).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storageDataLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;training&nbsp;data&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLModelLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;pmml&nbsp;model&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"trainingStatus":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;current&nbsp;status&nbsp;of&nbsp;the&nbsp;training&nbsp;job.&nbsp;This&nbsp;can&nbsp;be&nbsp;one&nbsp;of&nbsp;following:&nbsp;RUNNING;&nbsp;DONE;&nbsp;ERROR;&nbsp;ERROR:&nbsp;TRAINING&nbsp;JOB&nbsp;NOT&nbsp;FOUND<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelInfo":&nbsp;{&nbsp;#&nbsp;Model&nbsp;metadata.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberLabels":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;class&nbsp;labels&nbsp;in&nbsp;the&nbsp;trained&nbsp;model&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.14,&nbsp;#&nbsp;An&nbsp;estimated&nbsp;mean&nbsp;squared&nbsp;error.&nbsp;The&nbsp;can&nbsp;be&nbsp;used&nbsp;to&nbsp;measure&nbsp;the&nbsp;quality&nbsp;of&nbsp;the&nbsp;predicted&nbsp;model&nbsp;[Regression&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"modelType":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Type&nbsp;of&nbsp;predictive&nbsp;model&nbsp;(CLASSIFICATION&nbsp;or&nbsp;REGRESSION)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"numberInstances":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Number&nbsp;of&nbsp;valid&nbsp;data&nbsp;instances&nbsp;used&nbsp;in&nbsp;the&nbsp;trained&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classWeightedAccuracy":&nbsp;3.14,&nbsp;#&nbsp;Estimated&nbsp;accuracy&nbsp;of&nbsp;model&nbsp;taking&nbsp;utility&nbsp;weights&nbsp;into&nbsp;account&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"classificationAccuracy":&nbsp;3.14,&nbsp;#&nbsp;A&nbsp;number&nbsp;between&nbsp;0.0&nbsp;and&nbsp;1.0,&nbsp;where&nbsp;1.0&nbsp;is&nbsp;100%&nbsp;accurate.&nbsp;This&nbsp;is&nbsp;an&nbsp;estimate,&nbsp;based&nbsp;on&nbsp;the&nbsp;amount&nbsp;and&nbsp;quality&nbsp;of&nbsp;the&nbsp;training&nbsp;data,&nbsp;of&nbsp;the&nbsp;estimated&nbsp;prediction&nbsp;accuracy.&nbsp;You&nbsp;can&nbsp;use&nbsp;this&nbsp;is&nbsp;a&nbsp;guide&nbsp;to&nbsp;decide&nbsp;whether&nbsp;the&nbsp;results&nbsp;are&nbsp;accurate&nbsp;enough&nbsp;for&nbsp;your&nbsp;needs.&nbsp;This&nbsp;estimate&nbsp;will&nbsp;be&nbsp;more&nbsp;reliable&nbsp;if&nbsp;your&nbsp;real&nbsp;input&nbsp;data&nbsp;is&nbsp;similar&nbsp;to&nbsp;your&nbsp;training&nbsp;data&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"storagePMMLLocation":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;Google&nbsp;storage&nbsp;location&nbsp;of&nbsp;the&nbsp;preprocessing&nbsp;pmml&nbsp;file.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"id":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;The&nbsp;unique&nbsp;name&nbsp;for&nbsp;the&nbsp;predictive&nbsp;model.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"selfLink":&nbsp;"A&nbsp;String",&nbsp;#&nbsp;A&nbsp;URL&nbsp;to&nbsp;re-request&nbsp;this&nbsp;resource.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"utility":&nbsp;[&nbsp;#&nbsp;A&nbsp;class&nbsp;weighting&nbsp;function,&nbsp;which&nbsp;allows&nbsp;the&nbsp;importance&nbsp;weights&nbsp;for&nbsp;class&nbsp;labels&nbsp;to&nbsp;be&nbsp;specified&nbsp;[Categorical&nbsp;models&nbsp;only].<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;{&nbsp;#&nbsp;Class&nbsp;label&nbsp;(string).<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;},<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;],<br>
&nbsp;&nbsp;&nbsp;&nbsp;}</tt></dd></dl>
<hr>
Data descriptors defined here:<br>
<dl><dt><strong>__dict__</strong></dt>
<dd><tt>dictionary&nbsp;for&nbsp;instance&nbsp;variables&nbsp;(if&nbsp;defined)</tt></dd>
</dl>
<dl><dt><strong>__weakref__</strong></dt>
<dd><tt>list&nbsp;of&nbsp;weak&nbsp;references&nbsp;to&nbsp;the&nbsp;object&nbsp;(if&nbsp;defined)</tt></dd>
</dl>
</td></tr></table>
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