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using System.Collections.Generic;
using Newtonsoft.Json;
using SweepableEstimator = Microsoft.ML.AutoML.SweepableEstimator;
using Microsoft.ML.AutoML.CodeGen;
using ColorsOrder = Microsoft.ML.Transforms.Image.ImagePixelExtractingEstimator.ColorsOrder;
using ColorBits = Microsoft.ML.Transforms.Image.ImagePixelExtractingEstimator.ColorBits;
using ResizingKind = Microsoft.ML.Transforms.Image.ImageResizingEstimator.ResizingKind;
using Anchor = Microsoft.ML.Transforms.Image.ImageResizingEstimator.Anchor;
using Microsoft.ML.SearchSpace;
namespace Microsoft.ML.AutoML.CodeGen
{
internal partial class SdcaLogisticRegressionBinary : SweepableEstimator<SdcaOption>
{
public SdcaLogisticRegressionBinary(SdcaOption defaultOption, SearchSpace<SdcaOption> searchSpace = null)
{
this.TParameter = defaultOption;
this.SearchSpace = searchSpace;
this.EstimatorType = EstimatorType.SdcaLogisticRegressionBinary;
}
internal SdcaLogisticRegressionBinary()
{
this.EstimatorType = EstimatorType.SdcaLogisticRegressionBinary;
this.TParameter = new SdcaOption();
}
internal override IEnumerable<string> CSharpUsingStatements
{
get => new string[] {"using Microsoft.ML;", "using Microsoft.ML.Trainers;", };
}
internal override IEnumerable<string> NugetDependencies
{
get => new string[] {"Microsoft.ML", };
}
internal override string FunctionName
{
get => "BinaryClassification.Trainers.SdcaLogisticRegression";
}
}
}
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