public void AutoPipeline_should_create_sdca_maximum_entropy_classifier_with_custom_option()
{
var context = new MLContext();
var option = new CustomSdcaMaximumEntropyOptionBuilder();
var trainer = context.AutoML().MultiClassification.SdcaMaximumEntropy("label", "feature", option);
var parameterValues = option.SweepableValueGenerators.Select(x => x.CreateFromNormalized(0.5));
var parameterset = new Parameters(parameterValues);
Approvals.Verify(trainer.ToCodeGenNodeContract(parameterset));
}
public void AutoPipeline_should_create_classifier_with_custom_factory()
{
var context = new MLContext();
var optionBuilder = new CustomSdcaMaximumEntropyOptionBuilder();
var trainer = context.AutoML().CreateSweepableEstimator(
(context, option) =>
{
option.LabelColumnName = "Label";
option.FeatureColumnName = "Features";
return(context.MulticlassClassification.Trainers.SdcaMaximumEntropy(option));
},
optionBuilder,
new string[] { "Features" },
new string[] { "Score" },
"CustomSdca");
var parameterValues = optionBuilder.SweepableValueGenerators.Select(x => x.CreateFromNormalized(0.5));
var parameterset = new Parameters(parameterValues);
Approvals.Verify(trainer.ToCodeGenNodeContract(parameterset));
}
