chore(trainer): change l1 and l2 regularisation

This commit is contained in:
Anna 2022-08-29 22:10:33 -04:00
parent 1f818dc8bf
commit 82ca4052fc
Signed by: anna
GPG Key ID: 0B391D8F06FCD9E0
1 changed files with 1 additions and 1 deletions

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@ -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 {