From 818cd47b40cea32251e25d6998825ec2c0d25ccc Mon Sep 17 00:00:00 2001 From: XiaoYun Zhang Date: Mon, 27 Mar 2023 19:14:11 -0700 Subject: [PATCH 1/3] add autozero tuner --- .../API/BinaryClassificationExperiment.cs | 30 +- .../Microsoft.ML.AutoML.csproj | 10 + .../SweepableEstimator/SweepablePipeline.cs | 2 +- .../Tuner/AutoZeroTuner.cs | 182 + src/Microsoft.ML.AutoML/Tuner/Portfolios.json | 7431 +++++++++++++++++ .../Microsoft.ML.AutoML.Tests/AutoFitTests.cs | 1 + 6 files changed, 7648 insertions(+), 8 deletions(-) create mode 100644 src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs create mode 100644 src/Microsoft.ML.AutoML/Tuner/Portfolios.json diff --git a/src/Microsoft.ML.AutoML/API/BinaryClassificationExperiment.cs b/src/Microsoft.ML.AutoML/API/BinaryClassificationExperiment.cs index bbf4ef6531..831d86f8bb 100644 --- a/src/Microsoft.ML.AutoML/API/BinaryClassificationExperiment.cs +++ b/src/Microsoft.ML.AutoML/API/BinaryClassificationExperiment.cs @@ -9,6 +9,7 @@ using System.Threading; using System.Threading.Tasks; using Microsoft.Extensions.DependencyInjection; +using Microsoft.ML.AutoML.Tuner; using Microsoft.ML.Data; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers; @@ -35,6 +36,11 @@ public sealed class BinaryExperimentSettings : ExperimentSettings /// The default value is a collection auto-populated with all possible trainers (all values of ). public ICollection Trainers { get; } + /// + /// Set if use for hyper-parameter optimization, default to false. + /// + public bool UseAutoZeroTuner { get; set; } + /// /// Initializes a new instance of . /// @@ -42,6 +48,7 @@ public BinaryExperimentSettings() { OptimizingMetric = BinaryClassificationMetric.Accuracy; Trainers = Enum.GetValues(typeof(BinaryClassificationTrainer)).OfType().ToList(); + UseAutoZeroTuner = false; } } @@ -133,7 +140,7 @@ public enum BinaryClassificationTrainer /// public sealed class BinaryClassificationExperiment : ExperimentBase { - private readonly AutoMLExperiment _experiment; + private AutoMLExperiment _experiment; private const string Features = "__Features__"; private SweepablePipeline _pipeline; @@ -151,13 +158,13 @@ internal BinaryClassificationExperiment(MLContext context, BinaryExperimentSetti _experiment.SetMaximumMemoryUsageInMegaByte(d); } _experiment.SetMaxModelToExplore(settings.MaxModels); + _experiment.SetTrainingTimeInSeconds(settings.MaxExperimentTimeInSeconds); } public override ExperimentResult Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator preFeaturizer = null, IProgress> progressHandler = null) { var label = columnInformation.LabelColumnName; _experiment.SetBinaryClassificationMetric(Settings.OptimizingMetric, label); - _experiment.SetTrainingTimeInSeconds(Settings.MaxExperimentTimeInSeconds); // Cross val threshold for # of dataset rows -- // If dataset has < threshold # of rows, use cross val. @@ -194,7 +201,7 @@ public override ExperimentResult Execute(IDataView return monitor; }); - _experiment.SetTrialRunner(); + _experiment = PostConfigureAutoMLExperiment(_experiment); _experiment.Run(); var runDetails = monitor.RunDetails.Select(e => BestResultUtil.ToRunDetail(Context, e, _pipeline)); @@ -208,7 +215,6 @@ public override ExperimentResult Execute(IDataView { var label = columnInformation.LabelColumnName; _experiment.SetBinaryClassificationMetric(Settings.OptimizingMetric, label); - _experiment.SetTrainingTimeInSeconds(Settings.MaxExperimentTimeInSeconds); _experiment.SetDataset(trainData, validationData); _pipeline = CreateBinaryClassificationPipeline(trainData, columnInformation, preFeaturizer); _experiment.SetPipeline(_pipeline); @@ -228,7 +234,7 @@ public override ExperimentResult Execute(IDataView return monitor; }); - _experiment.SetTrialRunner(); + _experiment = PostConfigureAutoMLExperiment(_experiment); _experiment.Run(); var runDetails = monitor.RunDetails.Select(e => BestResultUtil.ToRunDetail(Context, e, _pipeline)); @@ -263,7 +269,6 @@ public override CrossValidationExperimentResult Exe { var label = columnInformation.LabelColumnName; _experiment.SetBinaryClassificationMetric(Settings.OptimizingMetric, label); - _experiment.SetTrainingTimeInSeconds(Settings.MaxExperimentTimeInSeconds); _experiment.SetDataset(trainData, (int)numberOfCVFolds); _pipeline = CreateBinaryClassificationPipeline(trainData, columnInformation, preFeaturizer); _experiment.SetPipeline(_pipeline); @@ -284,7 +289,7 @@ public override CrossValidationExperimentResult Exe return monitor; }); - _experiment.SetTrialRunner(); + _experiment = PostConfigureAutoMLExperiment(_experiment); _experiment.Run(); var runDetails = monitor.RunDetails.Select(e => BestResultUtil.ToCrossValidationRunDetail(Context, e, _pipeline)); @@ -335,6 +340,17 @@ private SweepablePipeline CreateBinaryClassificationPipeline(IDataView trainData .Append(Context.Auto().BinaryClassification(labelColumnName: columnInformation.LabelColumnName, useSdcaLogisticRegression: useSdca, useFastTree: useFastTree, useLgbm: useLgbm, useLbfgsLogisticRegression: uselbfgs, useFastForest: useFastForest, featureColumnName: Features)); } } + + private AutoMLExperiment PostConfigureAutoMLExperiment(AutoMLExperiment experiment) + { + experiment.SetTrialRunner(); + if (Settings.UseAutoZeroTuner) + { + experiment.SetTuner(); + } + + return experiment; + } } internal class BinaryClassificationRunner : ITrialRunner diff --git a/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj b/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj index 562ee0410e..3352f8efff 100644 --- a/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj +++ b/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj @@ -68,6 +68,16 @@ + + + + + + + PreserveNewest + + + diff --git a/src/Microsoft.ML.AutoML/SweepableEstimator/SweepablePipeline.cs b/src/Microsoft.ML.AutoML/SweepableEstimator/SweepablePipeline.cs index 6f754d12b5..05dc88cd64 100644 --- a/src/Microsoft.ML.AutoML/SweepableEstimator/SweepablePipeline.cs +++ b/src/Microsoft.ML.AutoML/SweepableEstimator/SweepablePipeline.cs @@ -153,7 +153,7 @@ public string ToString(Parameter parameter) if (parameter.TryGetValue(AutoMLExperiment.PipelineSearchspaceName, out var pipelineParameter)) { var schema = pipelineParameter["_SCHEMA_"].AsType(); - var estimatorStrings = Entity.FromExpression(_currentSchema) + var estimatorStrings = Entity.FromExpression(schema) .ValueEntities() .Where(e => e is StringEntity se && se.Value != "Nil") .Select((se) => diff --git a/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs b/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs new file mode 100644 index 0000000000..62d47a798b --- /dev/null +++ b/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs @@ -0,0 +1,182 @@ +// 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; +using System.Collections.Generic; +using System.Globalization; +using System.IO; +using System.Linq; +using System.Reflection; +using System.Text; +using System.Text.Json; +using Microsoft.ML.AutoML.CodeGen; +using Microsoft.ML.SearchSpace; + +namespace Microsoft.ML.AutoML.Tuner +{ + internal class AutoZeroTuner : ITuner + { + private readonly List _configs = new List(); + private readonly IEnumerator _configsEnumerator; + private readonly Dictionary _pipelineStrings; + private readonly SweepablePipeline _sweepablePipeline; + private readonly Dictionary _configLookBook = new Dictionary(); + private readonly string _metricName; + + public AutoZeroTuner(SweepablePipeline pipeline, AggregateTrainingStopManager aggregateTrainingStopManager, IEvaluateMetricManager evaluateMetricManager, AutoMLExperiment.AutoMLExperimentSettings settings) + { + _configs = LoadConfigsFromCsv(); + _sweepablePipeline = pipeline; + _pipelineStrings = _sweepablePipeline.Schema.ToTerms().Select(t => new + { + schema = t.ToString(), + pipelineString = string.Join("=>", t.ValueEntities().Select(e => _sweepablePipeline.Estimators[e.ToString()].EstimatorType)), + }).ToDictionary(kv => kv.schema, kv => kv.pipelineString); + _configs = evaluateMetricManager switch + { + BinaryMetricManager => _configs.Where(c => c.Task == "binary-classification").ToList(), + MultiClassMetricManager => _configs.Where(c => c.Task == "multi-classification").ToList(), + RegressionMetricManager => _configs.Where(c => c.Task == "regression").ToList(), + _ => throw new Exception(), + }; + _metricName = evaluateMetricManager switch + { + BinaryMetricManager bm => bm.Metric.ToString(), + MultiClassMetricManager mm => mm.Metric.ToString(), + RegressionMetricManager rm => rm.Metric.ToString(), + _ => throw new Exception(), + }; + _configsEnumerator = _configs.GetEnumerator(); + aggregateTrainingStopManager.AddTrainingStopManager(new MaxModelStopManager(_configs.Count, null)); + } + + private List LoadConfigsFromCsv() + { + var assembly = Assembly.GetExecutingAssembly(); + var resourceName = "Microsoft.ML.AutoML.Tuner.Portfolios.json"; + + using (Stream stream = assembly.GetManifestResourceStream(resourceName)) + using (StreamReader reader = new StreamReader(stream)) + { + var json = reader.ReadToEnd(); + var res = new List(); + var rows = JsonSerializer.Deserialize>(json); + foreach (var row in rows) + { + var config = new Config(); + config.Name = row.CustomDimensionsDataset; + if (row.CustomDimensionsBestPipeline.Contains("OneHotEncoding")) + { + config.CatalogTransformer = "OneHotEncoding"; + } + else + { + config.CatalogTransformer = "OneHotHashEncoding"; + } + + config.Task = row.CustomDimensionsOptionsTask; + var i = 0; + foreach (var estimator in row.CustomDimensionsBestPipeline.Split(new[] { "=>" }, StringSplitOptions.RemoveEmptyEntries)) + { + if (Enum.TryParse(estimator, out var estimatorType) && estimatorType.IsTrainer()) + { + config.Trainer = estimator; + break; + } + i++; + } + var parameter = row.CustomDimensionsParameter; + var schema = parameter["_pipeline_"]["_SCHEMA_"].AsType(); + var trainerName = schema.Split('*').ToArray()[i].Trim(); + parameter = parameter["_pipeline_"][trainerName]; + config.TrainerParameter = parameter; + if (config.Task == "classification") + { + if (config.Trainer.Contains("Multi") || config.Trainer.Contains("Ova")) + { + config.Task = "multi-classification"; + } + else + { + config.Task = "binary-classification"; + } + } + + + res.Add(config); + + } + + return res; + } + } + + public Parameter Propose(TrialSettings settings) + { + if (_configsEnumerator.MoveNext()) + { + var config = _configsEnumerator.Current; + IEnumerable> pipelineSchemas = default; + if (_pipelineStrings.Any(kv => kv.Value.Contains("OneHotHashEncoding") || kv.Value.Contains("OneHotEncoding"))) + { + pipelineSchemas = _pipelineStrings.Where(kv => kv.Value.Contains(config.CatalogTransformer)); + } + else + { + pipelineSchemas = _pipelineStrings; + } + + pipelineSchemas = pipelineSchemas.Where(kv => kv.Value.Contains(config.Trainer)); + var pipelineSchema = pipelineSchemas.First().Key; + var pipeline = _sweepablePipeline.BuildSweepableEstimatorPipeline(pipelineSchema); + var parameter = pipeline.SearchSpace.SampleFromFeatureSpace(pipeline.SearchSpace.Default); + var trainerEstimatorName = pipeline.Estimators.Where(kv => kv.Value.EstimatorType.IsTrainer()).First().Key; + var label = parameter[trainerEstimatorName]["LabelColumnName"].AsType(); + parameter[trainerEstimatorName] = config.TrainerParameter; + parameter[trainerEstimatorName]["LabelColumnName"] = Parameter.FromString(label); + settings.Parameter[AutoMLExperiment.PipelineSearchspaceName] = parameter; + _configLookBook[settings.TrialId] = config; + return settings.Parameter; + } + + throw new OperationCanceledException(); + } + + public void Update(TrialResult result) + { + } + + class Config + { + /// + /// one of OneHot, HashEncoding + /// + public string CatalogTransformer { get; set; } + + /// + /// One of Lgbm, Sdca, FastTree,,, + /// + public string Trainer { get; set; } + + public Parameter TrainerParameter { get; set; } + + public string Task { get; set; } + + public string Name { get; set; } + } + + class Rows + { + public string CustomDimensionsDataset { get; set; } + + public string CustomDimensionsOptionsPrimaryMetric { get; set; } + + public string CustomDimensionsBestPipeline { get; set; } + + public string CustomDimensionsOptionsTask { get; set; } + + public Parameter CustomDimensionsParameter { get; set; } + } + } +} diff --git a/src/Microsoft.ML.AutoML/Tuner/Portfolios.json b/src/Microsoft.ML.AutoML/Tuner/Portfolios.json new file mode 100644 index 0000000000..65a0fcbc8c --- /dev/null +++ b/src/Microsoft.ML.AutoML/Tuner/Portfolios.json @@ -0,0 +1,7431 @@ +[ + { + "CustomDimensionsDataset": "Hue", + "CustomDimensionsOptionsTask": "regression", + "CustomDimensionsOptionsPrimaryMetric": "r2_score", + "CustomDimensionsParameter": { + "_pipeline_": { + "_SCHEMA_": "e0 * e1 * e4", + "e0": { + "OutputColumnNames": [ "Features" ], + "InputColumnNames": [ "Features" ] + }, + "e1": { + "InputColumnNames": [ "Features" ], + "OutputColumnName": "__Features__" + }, + "e4": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 0.48167902642020943, + "NumberOfTrees": 391, + "SubsampleFraction": 3.7376447398955136e-10, + "MaximumBinCountPerFeature": 772, + "FeatureFraction": 0.9998943421715718, + "L1Regularization": 1.309778680427558e-7, + "L2Regularization": 9.76430886197059e-7, + "LabelColumnName": "0", + "FeatureColumnName": "__Features__" + }, + "e2": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "LearningRate": 0.09999999999999998, + "LabelColumnName": "0", + "FeatureColumnName": "__Features__" + }, + "e3": { + "NumberOfTrees": 4, + "NumberOfLeaves": 4, + "FeatureFraction": 1, + "LabelColumnName": "0", + "FeatureColumnName": "__Features__" + }, + "e5": { + "L1Regularization": 1, + "L2Regularization": 1, + "LabelColumnName": "0", + "FeatureColumnName": "__Features__" + }, + "e6": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "0", + "FeatureColumnName": "__Features__" + } + } + }, + "CustomDimensionsBestPipeline": "ReplaceMissingValues=>Concatenate=>LightGbmRegression" + }, + { + "CustomDimensionsDataset": "mfeat-factors", + "CustomDimensionsOptionsTask": "classification", + "CustomDimensionsOptionsPrimaryMetric": "accuracy", + "CustomDimensionsParameter": { + "_pipeline_": { + "_SCHEMA_": "e0 * e1 * e2 * e6 * e10", + "e0": {}, + "e1": { + "OutputColumnNames": [ "Features" ], + "InputColumnNames": [ "Features" ] + }, + "e10": {}, + "e2": { + "InputColumnNames": [ "Features" ], + "OutputColumnName": "__Features__" + }, + "e6": { + "L1Regularization": 29.835897, + "L2Regularization": 1.0032593, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e3": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "LearningRate": 0.09999999999999998, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e4": { + "NumberOfTrees": 4, + "NumberOfLeaves": 4, + "FeatureFraction": 1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e5": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 1, + "NumberOfTrees": 4, + "SubsampleFraction": 1, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "L1Regularization": 2e-10, + "L2Regularization": 1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e7": { + "L1Regularization": 1, + "L2Regularization": 1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e8": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e9": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + } + } + }, + "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>Concatenate=>LbfgsLogisticRegressionOva=>Unknown" + }, + { + "CustomDimensionsDataset": "fabert", + "CustomDimensionsOptionsTask": "classification", + "CustomDimensionsOptionsPrimaryMetric": "accuracy", + "CustomDimensionsParameter": { + "_pipeline_": { + "_SCHEMA_": "e0 * e1 * e2 * e4", + "e0": {}, + "e1": { + "OutputColumnNames": [ "Features" ], + "InputColumnNames": [ "Features" ] + }, + "e2": { + "InputColumnNames": [ "Features" ], + "OutputColumnName": "__Features__" + }, + "e4": { + "NumberOfTrees": 1067, + "NumberOfLeaves": 32767, + "FeatureFraction": 0.9498188, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e3": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "LearningRate": 0.09999999999999998, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e5": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 1, + "NumberOfTrees": 4, + "SubsampleFraction": 1, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "L1Regularization": 2e-10, + "L2Regularization": 1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e6": { + "L1Regularization": 1, + "L2Regularization": 1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + }, + "e7": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + } + } + }, + "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>Concatenate=>LbfgsLogisticRegressionBinary" + }, + { + "CustomDimensionsDataset": "crowdflower_first_and_last_names", + "CustomDimensionsOptionsTask": "classification", + "CustomDimensionsOptionsPrimaryMetric": "accuracy", + "CustomDimensionsParameter": { + "_pipeline_": { + "_SCHEMA_": "e0 * e1 * e2 * e3 * e10", + "e0": {}, + "e1": { + "InputColumnName": "image_url", + "OutputColumnName": "image_url" + }, + "e10": {}, + "e2": { + "InputColumnNames": [ "image_url" ], + "OutputColumnName": "__Features__" + }, + "e3": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 254, + "FeatureFraction": 1, + "LearningRate": 0.09999999999999998, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e4": { + "NumberOfTrees": 4, + "NumberOfLeaves": 4, + "FeatureFraction": 1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e5": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 1, + "NumberOfTrees": 4, + "SubsampleFraction": 1, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "L1Regularization": 2e-10, + "L2Regularization": 1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e6": { + "L1Regularization": 1, + "L2Regularization": 1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e7": { + "L1Regularization": 1, + "L2Regularization": 1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e8": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + }, + "e9": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "first_or_last", + "FeatureColumnName": "__Features__" + } + } + }, + "CustomDimensionsBestPipeline": "Unknown=>FeaturizeText=>Concatenate=>LbfgsLogisticRegressionOva=>Unknown" + }, + { + "CustomDimensionsDataset": "KDDCup09_appetency", + "CustomDimensionsOptionsTask": "classification", + "CustomDimensionsOptionsPrimaryMetric": "accuracy", + "CustomDimensionsParameter": { + "_pipeline_": { + "_SCHEMA_": "e0 * e1 * e2 * e4 * e5", + "e0": {}, + "e1": { + "OutputColumnNames": [ "Features" ], + "InputColumnNames": [ "Features" ] + }, + "e2": { + "OutputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], + "InputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ] + }, + "e4": { + "InputColumnNames": [ "Features", "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], + "OutputColumnName": "__Features__" + }, + "e5": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 254, + "FeatureFraction": 1, + "LearningRate": 0.09999999999999998, + "LabelColumnName": "APPETENCY", + "FeatureColumnName": "__Features__" + }, + "e3": { + "OutputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], + "InputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ] + }, + "e6": { + "NumberOfTrees": 4, + "NumberOfLeaves": 4, + "FeatureFraction": 1, + "LabelColumnName": "APPETENCY", + "FeatureColumnName": "__Features__" + }, + "e7": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 1, + "NumberOfTrees": 4, + "SubsampleFraction": 1, + "MaximumBinCountPerFeature": 255, + "FeatureFraction": 1, + "L1Regularization": 2e-10, + "L2Regularization": 1, + "LabelColumnName": "APPETENCY", + "FeatureColumnName": "__Features__" + }, + "e8": { + "L1Regularization": 1, + 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"class", + "FeatureColumnName": "__Features__" + }, + "e7": { + "L1Regularization": 1, + "L2Regularization": 0.1, + "LabelColumnName": "class", + "FeatureColumnName": "__Features__" + } + } + }, + "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>Concatenate=>LightGbmBinary" + } +] diff --git a/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs b/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs index 8899312dbb..bd4b2403a8 100644 --- a/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs +++ b/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs @@ -102,6 +102,7 @@ public void AutoFit_UCI_Adult_CrossValidation_10_Test() var settings = new BinaryExperimentSettings { MaxModels = 1, + UseAutoZeroTuner = true, }; settings.Trainers.Remove(BinaryClassificationTrainer.LightGbm); From e544dc1766c7c60e4bb76a5e5d560a8603a96e36 Mon Sep 17 00:00:00 2001 From: XiaoYun Zhang Date: Tue, 4 Apr 2023 14:47:57 -0700 Subject: [PATCH 2/3] update portfolios.json --- .../Microsoft.ML.AutoML.csproj | 4 - .../Tuner/AutoZeroTuner.cs | 76 +- src/Microsoft.ML.AutoML/Tuner/Portfolios.json | 9236 ++++------------- 3 files changed, 1827 insertions(+), 7489 deletions(-) diff --git a/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj b/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj index 3352f8efff..2a4279c27b 100644 --- a/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj +++ b/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj @@ -68,10 +68,6 @@ - - - - PreserveNewest diff --git a/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs b/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs index 62d47a798b..1a2161c99c 100644 --- a/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs +++ b/src/Microsoft.ML.AutoML/Tuner/AutoZeroTuner.cs @@ -26,18 +26,22 @@ internal class AutoZeroTuner : ITuner public AutoZeroTuner(SweepablePipeline pipeline, AggregateTrainingStopManager aggregateTrainingStopManager, IEvaluateMetricManager evaluateMetricManager, AutoMLExperiment.AutoMLExperimentSettings settings) { - _configs = LoadConfigsFromCsv(); + _configs = LoadConfigsFromJson(); _sweepablePipeline = pipeline; _pipelineStrings = _sweepablePipeline.Schema.ToTerms().Select(t => new { schema = t.ToString(), pipelineString = string.Join("=>", t.ValueEntities().Select(e => _sweepablePipeline.Estimators[e.ToString()].EstimatorType)), }).ToDictionary(kv => kv.schema, kv => kv.pipelineString); + + // todo + // filter configs on trainers + var trainerEstimators = _sweepablePipeline.Estimators.Where(e => e.Value.EstimatorType.IsTrainer()).Select(e => e.Value.EstimatorType.ToString()).ToList(); _configs = evaluateMetricManager switch { - BinaryMetricManager => _configs.Where(c => c.Task == "binary-classification").ToList(), - MultiClassMetricManager => _configs.Where(c => c.Task == "multi-classification").ToList(), - RegressionMetricManager => _configs.Where(c => c.Task == "regression").ToList(), + BinaryMetricManager => _configs.Where(c => c.Task == "binary-classification" && trainerEstimators.Contains(c.Trainer)).ToList(), + MultiClassMetricManager => _configs.Where(c => c.Task == "multi-classification" && trainerEstimators.Contains(c.Trainer)).ToList(), + RegressionMetricManager => _configs.Where(c => c.Task == "regression" && trainerEstimators.Contains(c.Trainer)).ToList(), _ => throw new Exception(), }; _metricName = evaluateMetricManager switch @@ -47,11 +51,17 @@ public AutoZeroTuner(SweepablePipeline pipeline, AggregateTrainingStopManager ag RegressionMetricManager rm => rm.Metric.ToString(), _ => throw new Exception(), }; + + if (_configs.Count == 0) + { + throw new ArgumentException($"Fail to find available configs for given trainers: {string.Join(",", trainerEstimators)}"); + } + _configsEnumerator = _configs.GetEnumerator(); aggregateTrainingStopManager.AddTrainingStopManager(new MaxModelStopManager(_configs.Count, null)); } - private List LoadConfigsFromCsv() + private List LoadConfigsFromJson() { var assembly = Assembly.GetExecutingAssembly(); var resourceName = "Microsoft.ML.AutoML.Tuner.Portfolios.json"; @@ -60,53 +70,7 @@ private List LoadConfigsFromCsv() using (StreamReader reader = new StreamReader(stream)) { var json = reader.ReadToEnd(); - var res = new List(); - var rows = JsonSerializer.Deserialize>(json); - foreach (var row in rows) - { - var config = new Config(); - config.Name = row.CustomDimensionsDataset; - if (row.CustomDimensionsBestPipeline.Contains("OneHotEncoding")) - { - config.CatalogTransformer = "OneHotEncoding"; - } - else - { - config.CatalogTransformer = "OneHotHashEncoding"; - } - - config.Task = row.CustomDimensionsOptionsTask; - var i = 0; - foreach (var estimator in row.CustomDimensionsBestPipeline.Split(new[] { "=>" }, StringSplitOptions.RemoveEmptyEntries)) - { - if (Enum.TryParse(estimator, out var estimatorType) && estimatorType.IsTrainer()) - { - config.Trainer = estimator; - break; - } - i++; - } - var parameter = row.CustomDimensionsParameter; - var schema = parameter["_pipeline_"]["_SCHEMA_"].AsType(); - var trainerName = schema.Split('*').ToArray()[i].Trim(); - parameter = parameter["_pipeline_"][trainerName]; - config.TrainerParameter = parameter; - if (config.Task == "classification") - { - if (config.Trainer.Contains("Multi") || config.Trainer.Contains("Ova")) - { - config.Task = "multi-classification"; - } - else - { - config.Task = "binary-classification"; - } - } - - - res.Add(config); - - } + var res = JsonSerializer.Deserialize>(json); return res; } @@ -133,8 +97,10 @@ public Parameter Propose(TrialSettings settings) var parameter = pipeline.SearchSpace.SampleFromFeatureSpace(pipeline.SearchSpace.Default); var trainerEstimatorName = pipeline.Estimators.Where(kv => kv.Value.EstimatorType.IsTrainer()).First().Key; var label = parameter[trainerEstimatorName]["LabelColumnName"].AsType(); + var feature = parameter[trainerEstimatorName]["FeatureColumnName"].AsType(); parameter[trainerEstimatorName] = config.TrainerParameter; parameter[trainerEstimatorName]["LabelColumnName"] = Parameter.FromString(label); + parameter[trainerEstimatorName]["FeatureColumnName"] = Parameter.FromString(feature); settings.Parameter[AutoMLExperiment.PipelineSearchspaceName] = parameter; _configLookBook[settings.TrialId] = config; return settings.Parameter; @@ -162,16 +128,10 @@ class Config public Parameter TrainerParameter { get; set; } public string Task { get; set; } - - public string Name { get; set; } } class Rows { - public string CustomDimensionsDataset { get; set; } - - public string CustomDimensionsOptionsPrimaryMetric { get; set; } - public string CustomDimensionsBestPipeline { get; set; } public string CustomDimensionsOptionsTask { get; set; } diff --git a/src/Microsoft.ML.AutoML/Tuner/Portfolios.json b/src/Microsoft.ML.AutoML/Tuner/Portfolios.json index 65a0fcbc8c..eb950503e9 100644 --- a/src/Microsoft.ML.AutoML/Tuner/Portfolios.json +++ b/src/Microsoft.ML.AutoML/Tuner/Portfolios.json @@ -1,7431 +1,1813 @@ [ { - "CustomDimensionsDataset": "Hue", - "CustomDimensionsOptionsTask": "regression", - "CustomDimensionsOptionsPrimaryMetric": "r2_score", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e1 * e4", - "e0": { - "OutputColumnNames": [ "Features" ], - "InputColumnNames": [ "Features" ] - }, - "e1": { - "InputColumnNames": [ "Features" ], - "OutputColumnName": "__Features__" - }, - "e4": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 0.48167902642020943, - "NumberOfTrees": 391, - "SubsampleFraction": 3.7376447398955136e-10, - "MaximumBinCountPerFeature": 772, - "FeatureFraction": 0.9998943421715718, - "L1Regularization": 1.309778680427558e-7, - "L2Regularization": 9.76430886197059e-7, - "LabelColumnName": "0", - "FeatureColumnName": "__Features__" - }, - "e2": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "NumberOfTrees": 4, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "LearningRate": 0.09999999999999998, - "LabelColumnName": "0", - "FeatureColumnName": "__Features__" - }, - "e3": { - "NumberOfTrees": 4, - "NumberOfLeaves": 4, - "FeatureFraction": 1, - "LabelColumnName": "0", - "FeatureColumnName": "__Features__" - }, - "e5": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "0", - "FeatureColumnName": "__Features__" - }, - "e6": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "0", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": "ReplaceMissingValues=>Concatenate=>LightGbmRegression" - }, - { - "CustomDimensionsDataset": "mfeat-factors", - "CustomDimensionsOptionsTask": "classification", - "CustomDimensionsOptionsPrimaryMetric": "accuracy", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e1 * e2 * e6 * e10", - "e0": {}, - "e1": { - "OutputColumnNames": [ "Features" ], - "InputColumnNames": [ "Features" ] - }, - "e10": {}, - "e2": { - "InputColumnNames": [ "Features" ], - "OutputColumnName": "__Features__" - }, - "e6": { - "L1Regularization": 29.835897, - "L2Regularization": 1.0032593, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e3": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "NumberOfTrees": 4, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "LearningRate": 0.09999999999999998, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e4": { - "NumberOfTrees": 4, - "NumberOfLeaves": 4, - "FeatureFraction": 1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e5": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 1, - "NumberOfTrees": 4, - "SubsampleFraction": 1, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "L1Regularization": 2e-10, - "L2Regularization": 1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e7": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e8": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e9": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>Concatenate=>LbfgsLogisticRegressionOva=>Unknown" - }, - { - "CustomDimensionsDataset": "fabert", - "CustomDimensionsOptionsTask": "classification", - "CustomDimensionsOptionsPrimaryMetric": "accuracy", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e1 * e2 * e4", - "e0": {}, - "e1": { - "OutputColumnNames": [ "Features" ], - "InputColumnNames": [ "Features" ] - }, - "e2": { - "InputColumnNames": [ "Features" ], - "OutputColumnName": "__Features__" - }, - "e4": { - "NumberOfTrees": 1067, - "NumberOfLeaves": 32767, - "FeatureFraction": 0.9498188, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e3": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "NumberOfTrees": 4, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "LearningRate": 0.09999999999999998, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e5": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 1, - "NumberOfTrees": 4, - "SubsampleFraction": 1, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "L1Regularization": 2e-10, - "L2Regularization": 1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e6": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - }, - "e7": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "class", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>Concatenate=>LbfgsLogisticRegressionBinary" - }, - { - "CustomDimensionsDataset": "crowdflower_first_and_last_names", - "CustomDimensionsOptionsTask": "classification", - "CustomDimensionsOptionsPrimaryMetric": "accuracy", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e1 * e2 * e3 * e10", - "e0": {}, - "e1": { - "InputColumnName": "image_url", - "OutputColumnName": "image_url" - }, - "e10": {}, - "e2": { - "InputColumnNames": [ "image_url" ], - "OutputColumnName": "__Features__" - }, - "e3": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "NumberOfTrees": 4, - "MaximumBinCountPerFeature": 254, - "FeatureFraction": 1, - "LearningRate": 0.09999999999999998, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e4": { - "NumberOfTrees": 4, - "NumberOfLeaves": 4, - "FeatureFraction": 1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e5": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 1, - "NumberOfTrees": 4, - "SubsampleFraction": 1, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "L1Regularization": 2e-10, - "L2Regularization": 1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e6": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e7": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e8": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - }, - "e9": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "first_or_last", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": "Unknown=>FeaturizeText=>Concatenate=>LbfgsLogisticRegressionOva=>Unknown" - }, - { - "CustomDimensionsDataset": "KDDCup09_appetency", - "CustomDimensionsOptionsTask": "classification", - "CustomDimensionsOptionsPrimaryMetric": "accuracy", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e1 * e2 * e4 * e5", - "e0": {}, - "e1": { - "OutputColumnNames": [ "Features" ], - "InputColumnNames": [ "Features" ] - }, - "e2": { - "OutputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], - "InputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ] - }, - "e4": { - "InputColumnNames": [ "Features", "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], - "OutputColumnName": "__Features__" - }, - "e5": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "NumberOfTrees": 4, - "MaximumBinCountPerFeature": 254, - "FeatureFraction": 1, - "LearningRate": 0.09999999999999998, - "LabelColumnName": "APPETENCY", - "FeatureColumnName": "__Features__" - }, - "e3": { - "OutputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ], - "InputColumnNames": [ "Var191", "Var192", "Var193", "Var194", "Var195", "Var196", "Var197", "Var198", "Var199", "Var200", "Var201", "Var203", "Var204", "Var205", "Var206", "Var207", "Var208", "Var210", "Var211", "Var212", "Var213", "Var214", "Var215", "Var216", "Var218", "Var219", "Var220", "Var221", "Var222", "Var223", "Var224", "Var225", "Var226", "Var227", "Var228", "Var229" ] - }, - "e6": { - "NumberOfTrees": 4, - "NumberOfLeaves": 4, - "FeatureFraction": 1, - "LabelColumnName": "APPETENCY", - "FeatureColumnName": "__Features__" - }, - "e7": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 1, - "NumberOfTrees": 4, - "SubsampleFraction": 1, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "L1Regularization": 2e-10, - "L2Regularization": 1, - "LabelColumnName": "APPETENCY", - "FeatureColumnName": "__Features__" - }, - "e8": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "APPETENCY", - "FeatureColumnName": "__Features__" - }, - "e9": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "APPETENCY", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": "Unknown=>ReplaceMissingValues=>OneHotHashEncoding=>Concatenate=>LightGbmBinary" - }, - { - "CustomDimensionsDataset": "SkytraxAirlineUserReviews", - "CustomDimensionsOptionsTask": "classification", - "CustomDimensionsOptionsPrimaryMetric": "accuracy", - "CustomDimensionsParameter": { - "_pipeline_": { - "_SCHEMA_": "e0 * e2 * e3 * e4 * e5 * e6", - "e0": {}, - "e2": { - "OutputColumnNames": [ "airline_name", "link", "title", "author_country", "date", "aircraft", "type_traveller", "cabin_flown", "route" ], - "InputColumnNames": [ "airline_name", "link", "title", "author_country", "date", "aircraft", "type_traveller", "cabin_flown", "route" ] - }, - "e3": { - "InputColumnName": "author", - "OutputColumnName": "author" - }, - "e4": { - "InputColumnName": "content", - "OutputColumnName": "content" - }, - "e5": { - "InputColumnNames": [ "author", "content", "airline_name", "link", "title", "author_country", "date", "aircraft", "type_traveller", "cabin_flown", "route" ], - "OutputColumnName": "__Features__" - }, - "e6": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 15, - "NumberOfTrees": 2860, - "MaximumBinCountPerFeature": 35, - "FeatureFraction": 0.99999999, - "LearningRate": 0.0633817566618262, - "LabelColumnName": "recommended", - "FeatureColumnName": "__Features__" - }, - "e1": { - "OutputColumnNames": [ "airline_name", "link", "title", "author_country", "date", "aircraft", "type_traveller", "cabin_flown", "route" ], - "InputColumnNames": [ "airline_name", "link", "title", "author_country", "date", "aircraft", "type_traveller", "cabin_flown", "route" ] - }, - "e10": { - "L1Regularization": 1, - "L2Regularization": 0.1, - "LabelColumnName": "recommended", - "FeatureColumnName": "__Features__" - }, - "e7": { - "NumberOfTrees": 4, - "NumberOfLeaves": 4, - "FeatureFraction": 1, - "LabelColumnName": "recommended", - "FeatureColumnName": "__Features__" - }, - "e8": { - "NumberOfLeaves": 4, - "MinimumExampleCountPerLeaf": 20, - "LearningRate": 1, - "NumberOfTrees": 4, - "SubsampleFraction": 1, - "MaximumBinCountPerFeature": 255, - "FeatureFraction": 1, - "L1Regularization": 2e-10, - "L2Regularization": 1, - "LabelColumnName": "recommended", - "FeatureColumnName": "__Features__" - }, - "e9": { - "L1Regularization": 1, - "L2Regularization": 1, - "LabelColumnName": "recommended", - "FeatureColumnName": "__Features__" - } - } - }, - "CustomDimensionsBestPipeline": 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"FeatureFraction": 1, + "LearningRate": 0.09999999999999998 + + }, + "Task": "multi-classification" + }, + { + "CatalogTransformer": "OneHotHashEncoding", + "Trainer": "LbfgsLogisticRegressionBinary", + "TrainerParameter": { + "L1Regularization": 0.046156637, + "L2Regularization": 0.29246366 + + }, + "Task": "binary-classification" + }, + { + "CatalogTransformer": "OneHotHashEncoding", + "Trainer": "FastTreeOva", + "TrainerParameter": { + "NumberOfLeaves": 2139, + "MinimumExampleCountPerLeaf": 33, + "NumberOfTrees": 4, + "MaximumBinCountPerFeature": 140, + "FeatureFraction": 0.7044397255286275, + "LearningRate": 0.00015715008951282033 + + }, + "Task": "multi-classification" + }, + { + "CatalogTransformer": "OneHotHashEncoding", + "Trainer": "FastForestOva", + "TrainerParameter": { + "NumberOfTrees": 4, + "NumberOfLeaves": 4, + "FeatureFraction": 0.5793991 + + }, + "Task": "multi-classification" + }, + { + "CatalogTransformer": "OneHotHashEncoding", + "Trainer": "LightGbmRegression", + "TrainerParameter": { + "NumberOfLeaves": 4095, + "MinimumExampleCountPerLeaf": 20, + "LearningRate": 0.9999997766729865, + "NumberOfTrees": 7, + "SubsampleFraction": 0.9999997766729865, + "MaximumBinCountPerFeature": 1023, + "FeatureFraction": 0.99999999, + "L1Regularization": 0.012472823102106186, + "L2Regularization": 0.01755275260937544 + + }, + "Task": "regression" + }, + { + "CatalogTransformer": "OneHotEncoding", + "Trainer": "LightGbmBinary", + "TrainerParameter": { + "NumberOfLeaves": 4, + "MinimumExampleCountPerLeaf": 32, + "LearningRate": 0.9999997766729865, + "NumberOfTrees": 44, + "SubsampleFraction": 0.9999997766729865, + "MaximumBinCountPerFeature": 1023, + "FeatureFraction": 0.99999999, + "L1Regularization": 8.713858660867841E-07, + "L2Regularization": 0.9999997766729865 + + }, + "Task": "binary-classification" + }, + { + "CatalogTransformer": "OneHotHashEncoding", + "Trainer": "LightGbmMulti", + "TrainerParameter": { + "NumberOfLeaves": 75, + "MinimumExampleCountPerLeaf": 277, + "LearningRate": 0.36344733837824383, + "NumberOfTrees": 75, + "SubsampleFraction": 0.9999997766729865, + "MaximumBinCountPerFeature": 178, + "FeatureFraction": 0.8402457426124342, + "L1Regularization": 5.328274305679465E-08, + "L2Regularization": 0.9999997766729865 + + }, + "Task": "multi-classification" } ] From 640db395b8789a814ec61701110f3cdc7b32d9ba Mon Sep 17 00:00:00 2001 From: XiaoYun Zhang Date: Tue, 4 Apr 2023 14:54:20 -0700 Subject: [PATCH 3/3] add tests --- .../Microsoft.ML.AutoML.Tests/AutoFitTests.cs | 28 ++++++++++++++++++- 1 file changed, 27 insertions(+), 1 deletion(-) diff --git a/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs b/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs index bd4b2403a8..c31cb32506 100644 --- a/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs +++ b/test/Microsoft.ML.AutoML.Tests/AutoFitTests.cs @@ -64,6 +64,33 @@ public void AutoFit_UCI_Adult_Test() Assert.NotNull(result.BestRun.TrainerName); } + [Fact] + public void AutoFit_UCI_Adult_AutoZero_Test() + { + var context = new MLContext(1); + var dataPath = DatasetUtil.GetUciAdultDataset(); + var columnInference = context.Auto().InferColumns(dataPath, DatasetUtil.UciAdultLabel); + var textLoader = context.Data.CreateTextLoader(columnInference.TextLoaderOptions); + var trainData = textLoader.Load(dataPath); + var settings = new BinaryExperimentSettings + { + MaxModels = 1, + UseAutoZeroTuner = true, + }; + + settings.Trainers.Remove(BinaryClassificationTrainer.LightGbm); + settings.Trainers.Remove(BinaryClassificationTrainer.SdcaLogisticRegression); + settings.Trainers.Remove(BinaryClassificationTrainer.LbfgsLogisticRegression); + + var result = context.Auto() + .CreateBinaryClassificationExperiment(settings) + .Execute(trainData, new ColumnInformation() { LabelColumnName = DatasetUtil.UciAdultLabel }); + result.BestRun.ValidationMetrics.Accuracy.Should().BeGreaterOrEqualTo(0.7); + Assert.NotNull(result.BestRun.Estimator); + Assert.NotNull(result.BestRun.Model); + Assert.NotNull(result.BestRun.TrainerName); + } + [Fact] public void AutoFit_UCI_Adult_Train_Test_Split_Test() { @@ -102,7 +129,6 @@ public void AutoFit_UCI_Adult_CrossValidation_10_Test() var settings = new BinaryExperimentSettings { MaxModels = 1, - UseAutoZeroTuner = true, }; settings.Trainers.Remove(BinaryClassificationTrainer.LightGbm);