31 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 (22)
UnitTests\TestEntryPoints.cs (22)
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; 446var avgEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, avgEnsembleInput).PredictorModel; 452var medEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, medEnsembleInput).PredictorModel; 458var regEnsemble = EnsembleCreator.CreateRegressionEnsemble(Env, regEnsembleInput).PredictorModel; 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, 1579var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 1585var binaryEnsembleCalibrated = Calibrate.Platt(Env, 1604var regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env, 1617var anomalyEnsembleModel = EnsembleCreator.CreateAnomalyPipelineEnsemble(Env, 1845var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 1851var binaryEnsembleCalibrated = Calibrate.Platt(Env, 1870var regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env, 2030var mcEnsembleModel = EnsembleCreator.CreateMulticlassPipelineEnsemble(Env, 2191var binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env, 2197var binaryEnsembleCalibrated = Calibrate.Platt(Env, 4257var model = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, lrInput).PredictorModel; 4266var mcModel = LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, mcLrInput).PredictorModel; 4327var model = RandomizedPcaTrainer.TrainPcaAnomaly(Env, pcaInput).PredictorModel;
Microsoft.ML.Data (2)
EntryPoints\PredictorModelImpl.cs (1)
18/// implementation of <see cref="PredictorModel"/>.
Prediction\Calibrator.cs (1)
2204/// <returns>A <see cref="CommonOutputs.TrainerOutput"/> object, containing an <see cref="PredictorModel"/>.</returns>
Microsoft.ML.EntryPoints (1)
ScoreModel.cs (1)
16/// This module handles scoring a <see cref="PredictorModel"/> against a new dataset.
Microsoft.ML.OnnxConverter (3)
SaveOnnxCommand.cs (3)
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"/>.