| File: LightGbmBinary.cs | Web Access |
| Project: src\src\Microsoft.ML.AutoML\Microsoft.ML.AutoML.csproj (Microsoft.ML.AutoML) |
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 LightGbmBinary : SweepableEstimator<LgbmOption> { public LightGbmBinary(LgbmOption defaultOption, SearchSpace<LgbmOption> searchSpace = null) { this.TParameter = defaultOption; this.SearchSpace = searchSpace; this.EstimatorType = EstimatorType.LightGbmBinary; } internal LightGbmBinary() { this.EstimatorType = EstimatorType.LightGbmBinary; this.TParameter = new LgbmOption(); } internal override IEnumerable<string> CSharpUsingStatements { get => new string[] {"using Microsoft.ML;", "using Microsoft.ML.Trainers;", "using Microsoft.ML.Trainers.LightGbm;", }; } internal override IEnumerable<string> NugetDependencies { get => new string[] {"Microsoft.ML", "Microsoft.ML.LightGbm", }; } internal override string FunctionName { get => "BinaryClassification.Trainers.LightGbm"; } } }