diff --git a/src/Microsoft.ML.StandardLearners/Standard/PoissonRegression/PoissonRegression.cs b/src/Microsoft.ML.StandardLearners/Standard/PoissonRegression/PoissonRegression.cs
index 4e1739fb28..c5ad4b4495 100644
--- a/src/Microsoft.ML.StandardLearners/Standard/PoissonRegression/PoissonRegression.cs
+++ b/src/Microsoft.ML.StandardLearners/Standard/PoissonRegression/PoissonRegression.cs
@@ -32,7 +32,7 @@ public sealed class PoissonRegression : LbfgsTrainerBase<Float, PoissonRegressio
         internal const string UserNameValue = "Poisson Regression";
         internal const string ShortName = "PR";
         internal const string Summary = "Poisson Regression assumes the unknown function, denoted Y has a Poisson distribution.";
-        internal new const string Remarks = @"<remarks>
+        new internal const string Remarks = @"<remarks>
 <a href='https://en.wikipedia.org/wiki/Poisson_regression'>Poisson regression</a> is a parameterized regression method. 
 It assumes that the log of the conditional mean of the dependent variable follows a linear function of the dependent variables. 
 Assuming that the dependent variable follows a Poisson distribution, the parameters of the regressor can be estimated by maximizing the likelihood of the obtained observations.