commit 3d55ac5b603f9e4355cae3924d1970ae16b716b2
author Joe Gregorio <jcgregorio@google.com> Tue Feb 21 10:11:19 2012 -0500
committer Joe Gregorio <jcgregorio@google.com> Tue Feb 21 10:11:19 2012 -0500
tree fd836a9c2f2fbcda49f2de309046cc6ea5700b12
parent b4169b5fff9e64688e4e3f4254624fbdcd00b25d

Update generated docs.

docs/dyn/prediction.v1.4.trainedmodels.html

diff --git a/docs/dyn/prediction.v1.4.trainedmodels.html b/docs/dyn/prediction.v1.4.trainedmodels.html
index 3043289..912e83c 100644
--- a/docs/dyn/prediction.v1.4.trainedmodels.html
+++ b/docs/dyn/prediction.v1.4.trainedmodels.html
@@ -30,6 +30,7 @@
 &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;"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;"dataAnalysis":&nbsp;{&nbsp;#&nbsp;Data&nbsp;Analysis.<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"warnings":&nbsp;[<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"A&nbsp;String",<br>
@@ -40,13 +41,13 @@
 &nbsp;&nbsp;&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;&nbsp;&nbsp;},<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;"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;[Categorical&nbsp;models&nbsp;only].<br>
+&nbsp;&nbsp;&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;&nbsp;&nbsp;},<br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.140000,&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;"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;3.140000,&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;3.140000,&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;"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>
@@ -66,6 +67,7 @@
 {<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;"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;"dataAnalysis":&nbsp;{&nbsp;#&nbsp;Data&nbsp;Analysis.<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"warnings":&nbsp;[<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"A&nbsp;String",<br>
@@ -76,13 +78,13 @@
 &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;"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;"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;[Categorical&nbsp;models&nbsp;only].<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;"meanSquaredError":&nbsp;3.140000,&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;"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;3.140000,&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;3.140000,&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;"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>
@@ -100,6 +102,7 @@
 &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;"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;"dataAnalysis":&nbsp;{&nbsp;#&nbsp;Data&nbsp;Analysis.<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"warnings":&nbsp;[<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"A&nbsp;String",<br>
@@ -110,13 +113,13 @@
 &nbsp;&nbsp;&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;&nbsp;&nbsp;},<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;"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;[Categorical&nbsp;models&nbsp;only].<br>
+&nbsp;&nbsp;&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;&nbsp;&nbsp;},<br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.140000,&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;"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;3.140000,&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;3.140000,&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;"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>
@@ -152,11 +155,11 @@
 &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;3.140000,&nbsp;#&nbsp;The&nbsp;probability&nbsp;of&nbsp;the&nbsp;class&nbsp;label.<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;3.140000,&nbsp;#&nbsp;The&nbsp;estimated&nbsp;regression&nbsp;value&nbsp;[Regression&nbsp;models&nbsp;only].<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>
 
@@ -181,6 +184,7 @@
 &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;"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;"dataAnalysis":&nbsp;{&nbsp;#&nbsp;Data&nbsp;Analysis.<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"warnings":&nbsp;[<br>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"A&nbsp;String",<br>
@@ -191,13 +195,13 @@
 &nbsp;&nbsp;&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;&nbsp;&nbsp;},<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;"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;[Categorical&nbsp;models&nbsp;only].<br>
+&nbsp;&nbsp;&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;&nbsp;&nbsp;},<br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;"meanSquaredError":&nbsp;3.140000,&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;"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;3.140000,&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;3.140000,&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;"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>