From 82ca4052fc135a95baf867a75c482cdd0de2fb44 Mon Sep 17 00:00:00 2001 From: Anna Clemens Date: Mon, 29 Aug 2022 22:10:33 -0400 Subject: [PATCH] chore(trainer): change l1 and l2 regularisation --- NoSoliciting.Trainer/Program.cs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/NoSoliciting.Trainer/Program.cs b/NoSoliciting.Trainer/Program.cs index ed0980f..bc5f22d 100644 --- a/NoSoliciting.Trainer/Program.cs +++ b/NoSoliciting.Trainer/Program.cs @@ -225,7 +225,7 @@ namespace NoSoliciting.Trainer { .Append(ctx.Transforms.Conversion.ConvertType("HasPlot", nameof(Data.Computed.ContainsPlot))) .Append(ctx.Transforms.Conversion.ConvertType("HasNumbers", nameof(Data.Computed.ContainsHousingNumbers))) .Append(ctx.Transforms.Concatenate("Features", "FeaturisedMessage", "CPartyFinder", "CShout", "CTrade", "HasWard", "HasPlot", "HasNumbers", "CSketch")) - .Append(ctx.MulticlassClassification.Trainers.SdcaMaximumEntropy(exampleWeightColumnName: "Weight")) + .Append(ctx.MulticlassClassification.Trainers.SdcaMaximumEntropy(exampleWeightColumnName: "Weight", l1Regularization: 0, l2Regularization: 0)) .Append(ctx.Transforms.Conversion.MapKeyToValue("PredictedLabel")); var train = mode switch {