diff --git a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/MulticlassLogisticRegression.cs b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/MulticlassLogisticRegression.cs
index 03bed19c04..d454caa4dd 100644
--- a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/MulticlassLogisticRegression.cs
+++ b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/MulticlassLogisticRegression.cs
@@ -31,6 +31,10 @@
     "Multiclass LR Executor",
     MaximumEntropyModelParameters.LoaderSignature)]
 
+[assembly: LoadableClass(typeof(LinearMulticlassModelParameters), null, typeof(SignatureLoadModel),
+    "Multiclass LR No Calib",
+    LinearMulticlassModelParameters.LoaderSignature)]
+
 [assembly: LoadableClass(typeof(void), typeof(LbfgsMaximumEntropyMulticlassTrainer), null, typeof(SignatureEntryPointModule), LbfgsMaximumEntropyMulticlassTrainer.LoadNameValue)]
 
 namespace Microsoft.ML.Trainers
diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs b/test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs
index 0f171368bf..048c097465 100644
--- a/test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs
+++ b/test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs
@@ -41,6 +41,10 @@ public void SdcaWorkout()
                 new SdcaMaximumEntropyMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });
             TestEstimatorCore(mcTrainer, mcData);
 
+            var mcTrainerNonCalibrated = ML.MulticlassClassification.Trainers.SdcaNonCalibrated(
+               new SdcaNonCalibratedMulticlassTrainer.Options { ConvergenceTolerance = 1e-2f, MaximumNumberOfIterations = 10 });
+            TestEstimatorCore(mcTrainerNonCalibrated, mcData);
+
             Done();
         }