From 42964e7e880d5aca080de5681f9558335a9f2760 Mon Sep 17 00:00:00 2001
From: Timothy L Humphrey <timothy.humphrey@lexisnexis.com>
Date: Tue, 28 Apr 2015 16:44:22 -0400
Subject: [PATCH] Update Use_ML.Classify.Logistic.ClassifyC.ecl

Added attribute for ML.Classify.Logistic() called LogReg. Changed all occurrences of ML.Classify.Logistic() to LogReg and added a call to LogReg.Model and outputed it.
---
 .../Logistic/Use_ML.Classify.Logistic.ClassifyC.ecl        | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/MLUsageExamples/Classify/Logistic/Use_ML.Classify.Logistic.ClassifyC.ecl b/MLUsageExamples/Classify/Logistic/Use_ML.Classify.Logistic.ClassifyC.ecl
index 0a8e324..00d487c 100644
--- a/MLUsageExamples/Classify/Logistic/Use_ML.Classify.Logistic.ClassifyC.ecl
+++ b/MLUsageExamples/Classify/Logistic/Use_ML.Classify.Logistic.ClassifyC.ecl
@@ -38,7 +38,10 @@
       );
    flds1 := flds0+f4;
    flds := ML.Discretize.ByRounding(flds1);
+   LogReg := ML.Classify.Logistic();
+   Model3 := LogReg.LearnC(flds1(Number<=2),flds(Number=3));
+   model := LogReg.Model(Model3);
+   OUTPUT(SORT(model,number),NAMED('model')); 
 
-   Model3 := ML.Classify.Logistic().LearnC(flds1(Number<=2),flds(Number=3));
-   predict:=ML.Classify.Logistic().ClassifyC(flds1(Number<=2),Model3);
+   predict:=LogReg.ClassifyC(flds1(Number<=2),Model3);
    OUTPUT(predict,NAMED('predict'));