1 type derived from PredictorModel
Microsoft.ML.Data (1)
EntryPoints\PredictorModelImpl.cs (1)
21internal sealed class PredictorModelImpl : PredictorModel
129 references to PredictorModel
Microsoft.ML.Core (3)
EntryPoints\ModuleArgs.cs (2)
576/// A predictor model, represented by an <see cref="EntryPoints.PredictorModel"/>. 625if (typeof(PredictorModel).IsAssignableFrom(type))
EntryPoints\PredictorModel.cs (1)
44internal abstract PredictorModel Apply(IHostEnvironment env, TransformModel transformModel);
Microsoft.ML.Core.Tests (45)
UnitTests\TestEntryPoints.cs (45)
137var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = trainData.OutputData }).PredictorModel; 138var model = ModelOperations.CombineTwoModels(Env, new ModelOperations.SimplePredictorModelInput() { TransformModel = trainData.Model, PredictorModel = lrModel }).PredictorModel; 420var predictorModels = new PredictorModel[nModels]; 446var avgEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, avgEnsembleInput).PredictorModel; 452var medEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, medEnsembleInput).PredictorModel; 458var regEnsemble = EnsembleCreator.CreateRegressionEnsemble(Env, regEnsembleInput).PredictorModel; 563var model = runner.GetOutput<PredictorModel>("model1"); 1510var lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = splitOutput.TestData[0] }).PredictorModel; 1511var calibratedLrModel = Calibrate.FixedPlatt(Env, 1532var calibratedFfModel = Calibrate.Platt(Env, 1534var twiceCalibratedFfModel = Calibrate.Platt(Env, 1546var predictorModels = new PredictorModel[nModels]; 1579var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 1585var binaryEnsembleCalibrated = Calibrate.Platt(Env, 1604var regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env, 1617var anomalyEnsembleModel = EnsembleCreator.CreateAnomalyPipelineEnsemble(Env, 1661PredictorModel loadedFromSaved; 1798var predictorModels = new PredictorModel[nModels]; 1845var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 1851var binaryEnsembleCalibrated = Calibrate.Platt(Env, 1870var regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env, 1888PredictorModel loadedFromSaved; 2003var predictorModels = new PredictorModel[nModels]; 2030var mcEnsembleModel = EnsembleCreator.CreateMulticlassPipelineEnsemble(Env, 2048PredictorModel loadedFromSaved; 2150var predictorModels = new PredictorModel[nModels]; 2191var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 2197var binaryEnsembleCalibrated = Calibrate.Platt(Env, 3515var model = runner.GetOutput<PredictorModel>("model"); 3610var model = runner.GetOutput<PredictorModel>("model"); 3715var model = runner.GetOutput<PredictorModel>("model"); 3876var model = runner.GetOutput<PredictorModel>("model"); 3879model = runner.GetOutput<PredictorModel>("model2"); 4067var model = runner.GetOutput<PredictorModel[]>("model"); 4070model = runner.GetOutput<PredictorModel[]>("model2"); 4157var model = runner.GetOutput<PredictorModel>("model"); 4257var model = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, lrInput).PredictorModel; 4266var mcModel = LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, mcLrInput).PredictorModel; 4327var model = RandomizedPcaTrainer.TrainPcaAnomaly(Env, pcaInput).PredictorModel;
Microsoft.ML.Data (11)
EntryPoints\CommonOutputs.cs (2)
46public PredictorModel PredictorModel; 189Var<PredictorModel> PredictorModel { get; }
EntryPoints\EntryPointNode.cs (1)
81type == typeof(PredictorModel) ||
EntryPoints\InputBase.cs (2)
144Var<PredictorModel> PredictorModel { get; set; } 193Var<PredictorModel> UncalibratedPredictorModel { get; }
EntryPoints\PredictorModelImpl.cs (2)
18/// implementation of <see cref="PredictorModel"/>. 90internal override PredictorModel Apply(IHostEnvironment env, TransformModel transformModel)
EntryPoints\SummarizePredictor.cs (1)
24public PredictorModel PredictorModel;
Prediction\Calibrator.cs (2)
2131public PredictorModel UncalibratedPredictorModel; 2204/// <returns>A <see cref="CommonOutputs.TrainerOutput"/> object, containing an <see cref="PredictorModel"/>.</returns>
Transforms\FeatureContributionCalculationTransformer.cs (1)
36public PredictorModel PredictorModel;
Microsoft.ML.Ensemble (21)
EntryPoints\CreateEnsemble.cs (4)
48public PredictorModel[] Models; 54public PredictorModel[] Models; 103var model = input.Models[i]; 300private static TOut CreatePipelineEnsemble<TOut>(IHostEnvironment env, PredictorModel[] predictors, SchemaBindablePipelineEnsembleBase ensemble)
EntryPoints\PipelineEnsemble.cs (1)
51var pm = ensemble.PredictorModels[i];
PipelineEnsemble.cs (16)
197protected SchemaBindablePipelineEnsemble(IHostEnvironment env, PredictorModel[] predictors, 248public ImplOne(IHostEnvironment env, PredictorModel[] predictors, IRegressionOutputCombiner combiner, string scoreColumnKind) 276public ImplVec(IHostEnvironment env, PredictorModel[] predictors, IMulticlassOutputCombiner combiner) 298public ImplOneWithCalibrator(IHostEnvironment env, PredictorModel[] predictors, IBinaryOutputCombiner combiner) 312private static void CheckBinaryLabel(bool user, IHostEnvironment env, PredictorModel[] predictors) 401internal PredictorModel[] PredictorModels { get; } 403private SchemaBindablePipelineEnsembleBase(IHostEnvironment env, PredictorModel[] predictors, string registrationName, string scoreColumnKind) 416var predModel = predictors[i]; 466PredictorModels = new PredictorModel[length]; 519public static SchemaBindablePipelineEnsembleBase Create(IHostEnvironment env, PredictorModel[] predictors, IOutputCombiner combiner, string scoreColumnKind) 589protected static int CheckLabelColumn(IHostEnvironment env, PredictorModel[] models, bool isBinary) 594var model = models[0]; 618private static int CheckNonKeyLabelColumnCore(IHostEnvironment env, IPredictor pred, PredictorModel[] models, bool isBinary, DataViewType labelType) 633var model = models[i]; 645private static int CheckKeyLabelColumnCore<T>(IHostEnvironment env, PredictorModel[] models, KeyDataViewType labelType, DataViewSchema schema, int labelIndex, VectorDataViewType keyValuesType) 657var model = models[i];
Microsoft.ML.EntryPoints (37)
CrossValidationMacro.cs (7)
35public Var<PredictorModel> PredictorModel; 99public PredictorModel[] PredictorModel; 194var predModelVars = new Var<PredictorModel>[input.NumFolds]; 195var inputTransformModelVars = new Var<PredictorModel>[input.NumFolds]; 230args.Outputs.PredictorModel = new Var<PredictorModel> 249var predModelVar = new Var<PredictorModel>(); 268var combineNodeOutputPredictorModel = new Var<PredictorModel>();
JsonUtils\ExecuteGraphCommand.cs (5)
158var pm = runner.GetOutput<PredictorModel>(varName); 170var ipmArray = runner.GetOutputOrDefault<PredictorModel[]>(varName); 190private void SaveArrayToFile(PredictorModel[] array, string partialPath, string extension) 211private void SavePredictorModel(PredictorModel pm, string path)
MacroUtils.cs (5)
79public PredictorModel[] Models; 85public PredictorModel[] OutputModels; 88[TlcModule.EntryPoint(Desc = "Create an array variable of " + nameof(PredictorModel), Name = "Data.PredictorModelArrayConverter")] 121Var<PredictorModel>[] predModelVars, string outputVarName) 136var output = new ArrayVar<PredictorModel>();
ModelOperations.cs (5)
38public PredictorModel PredictorModel; 47public PredictorModel PredictorModel; 53public PredictorModel PredictorModel; 59public PredictorModel[] ModelArray; 68public PredictorModel[] Models;
OneVersusAllMacro.cs (7)
28public Var<PredictorModel> Model; 48public PredictorModel PredictorModel; 51private static Var<PredictorModel> ProcessClass(IHostEnvironment env, List<EntryPointNode> macroNodes, int k, string label, Arguments input, EntryPointNode node) 80Var<PredictorModel> predModelVar = null; 91predModelVar = new Var<PredictorModel> { VarName = mvn }; 149var predModelVars = new Var<PredictorModel>[numClasses]; 159var modelsArray = new Var<PredictorModel[]>();
PermutationFeatureImportance.cs (1)
45public PredictorModel PredictorModel;
ScoreColumnSelector.cs (1)
61public PredictorModel PredictorModel;
ScoreModel.cs (3)
16/// This module handles scoring a <see cref="PredictorModel"/> against a new dataset. 31public PredictorModel PredictorModel; 58public PredictorModel PredictorModel;
TrainTestMacro.cs (3)
29public Var<PredictorModel> PredictorModel; 81public PredictorModel PredictorModel; 181var combineNodeOutputPredictorModel = new Var<PredictorModel>();
Microsoft.ML.FastTree (1)
TreeEnsembleFeaturizer.cs (1)
572public PredictorModel PredictorModel;
Microsoft.ML.OnnxConverter (5)
SaveOnnxCommand.cs (5)
64/// Entry point API can save either <see cref="TransformModel"/> or <see cref="PredictorModel"/>. 71/// Entry point API can save either <see cref="TransformModel"/> or <see cref="PredictorModel"/>. 72/// <see cref="PredictiveModel"/> is used when the saved model is typed to <see cref="PredictorModel"/>. 75public PredictorModel PredictiveModel; 89private readonly PredictorModel _predictiveModel;
Microsoft.ML.Predictor.Tests (6)
TestPredictors.cs (6)
629var fastTrees = new PredictorModel[3]; 651var fastTrees = new PredictorModel[3]; 667private void CombineAndTestTreeEnsembles(IDataView idv, PredictorModel[] fastTrees) 759var predictors = new PredictorModel[] 805var predictors = new PredictorModel[] 836PredictorModel[] predictors)