| File: TrainerExtensions\RankingTrainerExtensions.cs | Web Access |
| Project: src\src\Microsoft.ML.AutoML\Microsoft.ML.AutoML.csproj (Microsoft.ML.AutoML) |
// Licensed to the .NET Foundation under one or more agreements. // The .NET Foundation licenses this file to you under the MIT license. // See the LICENSE file in the project root for more information. using System.Collections.Generic; using Microsoft.ML.Data; using Microsoft.ML.Trainers; using Microsoft.ML.Trainers.FastTree; using Microsoft.ML.Trainers.LightGbm; namespace Microsoft.ML.AutoML { using ITrainerEstimator = ITrainerEstimator<IPredictionTransformer<object>, object>; internal class LightGbmRankingExtension : ITrainerExtension { public IEnumerable<SweepableParam> GetHyperparamSweepRanges() { return SweepableParams.BuildLightGbmParams(); } public ITrainerEstimator CreateInstance(MLContext mlContext, IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo, IDataView validationSet) { LightGbmRankingTrainer.Options options = TrainerExtensionUtil.CreateLightGbmOptions<LightGbmRankingTrainer.Options, float, RankingPredictionTransformer<LightGbmRankingModelParameters>, LightGbmRankingModelParameters>(sweepParams, columnInfo); options.RowGroupColumnName = columnInfo.GroupIdColumnName; return mlContext.Ranking.Trainers.LightGbm(options); } public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) { return TrainerExtensionUtil.BuildLightGbmPipelineNode(TrainerExtensionCatalog.GetTrainerName(this), sweepParams, columnInfo.LabelColumnName, columnInfo.ExampleWeightColumnName, columnInfo.GroupIdColumnName); } } internal class FastTreeRankingExtension : ITrainerExtension { public IEnumerable<SweepableParam> GetHyperparamSweepRanges() { return SweepableParams.BuildFastTreeParams(); } public ITrainerEstimator CreateInstance(MLContext mlContext, IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo, IDataView validationSet) { var options = TrainerExtensionUtil.CreateOptions<FastTreeRankingTrainer.Options>(sweepParams, columnInfo.LabelColumnName); options.RowGroupColumnName = columnInfo.GroupIdColumnName; return mlContext.Ranking.Trainers.FastTree(options); } public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo) { var property = new Dictionary<string, object>(); property.Add(nameof(FastTreeRankingTrainer.Options.RowGroupColumnName), columnInfo.GroupIdColumnName); return TrainerExtensionUtil.BuildPipelineNode(TrainerExtensionCatalog.GetTrainerName(this), sweepParams, columnInfo.LabelColumnName, additionalProperties: property); } } }