Fix two tests and address a comment

Author: wschin

src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/MulticlassLogisticRegression.cs

@@ -32,7 +32,7 @@
     "Multiclass LR Executor",
     MaximumEntropyModelParameters.LoaderSignature)]
 
-[assembly: EntryPointModule(typeof(LbfgsMaximumEntropyTrainer))]
+[assembly: LoadableClass(typeof(void), typeof(LbfgsMaximumEntropyTrainer), null, typeof(SignatureEntryPointModule), LbfgsMaximumEntropyTrainer.LoadNameValue)]
 
 namespace Microsoft.ML.Trainers
 {
@@ -41,7 +41,7 @@ namespace Microsoft.ML.Trainers
     public sealed class LbfgsMaximumEntropyTrainer : LbfgsTrainerBase<LbfgsMaximumEntropyTrainer.Options,
         MulticlassPredictionTransformer<MaximumEntropyModelParameters>, MaximumEntropyModelParameters>
     {
-        internal const string Summary = "Train maximum entropy model for multiclass classification using L-BFGS";
+        internal const string Summary = "Logistic Regression is a method in statistics used to predict the probability of occurrence of an event and can be used as a classification algorithm.The algorithm predicts the probability of occurrence of an event by fitting data to a logistical function.";
         internal const string LoadNameValue = "MultiClassLogisticRegression";
         internal const string UserNameValue = "Multi-class Logistic Regression";
         internal const string ShortName = "mlr";
@@ -971,9 +971,7 @@ public sealed class LinearMulticlassModelParameters : LinearMulticlassModelParam
         private static VersionInfo VersionInfo =>
             new VersionInfo(
                 modelSignature: "MCLINEAR",
-                // verWrittenCur: 0x00010001, // Initial
-                // verWrittenCur: 0x00010002, // Added class names
-                verWrittenCur: 0x00010003, // Added model stats
+                verWrittenCur: 0x00010001,
                 verReadableCur: 0x00010001,
                 verWeCanReadBack: 0x00010001,
                 loaderSignature: LoaderSignature,

test/BaselineOutput/Common/Command/CommandTrainMlrWithStats-summary.txt

@@ -1,4 +1,4 @@
-LogisticRegressionMulticlassClassificationTrainer bias and non-zero weights
+LbfgsMaximumEntropyTrainer bias and non-zero weights
 	Iris-setosa+(Bias)	2.265129
 	Iris-versicolor+(Bias)	0.7695086
 	Iris-virginica+(Bias)	-3.034663