31 references to PredictorModel
Microsoft.ML.Core (3)
EntryPoints\ModuleArgs.cs (2)
576
/// A predictor model, represented by an <see cref="EntryPoints.
PredictorModel
"/>.
625
if (typeof(
PredictorModel
).IsAssignableFrom(type))
EntryPoints\PredictorModel.cs (1)
44
internal abstract
PredictorModel
Apply(IHostEnvironment env, TransformModel transformModel);
Microsoft.ML.Core.Tests (22)
UnitTests\TestEntryPoints.cs (22)
137
var
lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = trainData.OutputData }).PredictorModel;
138
var
model = ModelOperations.CombineTwoModels(Env, new ModelOperations.SimplePredictorModelInput() { TransformModel = trainData.Model, PredictorModel = lrModel }).PredictorModel;
446
var
avgEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, avgEnsembleInput).PredictorModel;
452
var
medEnsemble = EnsembleCreator.CreateBinaryEnsemble(Env, medEnsembleInput).PredictorModel;
458
var
regEnsemble = EnsembleCreator.CreateRegressionEnsemble(Env, regEnsembleInput).PredictorModel;
1510
var
lrModel = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, new LbfgsLogisticRegressionBinaryTrainer.Options { TrainingData = splitOutput.TestData[0] }).PredictorModel;
1511
var
calibratedLrModel = Calibrate.FixedPlatt(Env,
1532
var
calibratedFfModel = Calibrate.Platt(Env,
1534
var
twiceCalibratedFfModel = Calibrate.Platt(Env,
1579
var
binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env,
1585
var
binaryEnsembleCalibrated = Calibrate.Platt(Env,
1604
var
regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env,
1617
var
anomalyEnsembleModel = EnsembleCreator.CreateAnomalyPipelineEnsemble(Env,
1845
var
binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env,
1851
var
binaryEnsembleCalibrated = Calibrate.Platt(Env,
1870
var
regressionEnsembleModel = EnsembleCreator.CreateRegressionPipelineEnsemble(Env,
2030
var
mcEnsembleModel = EnsembleCreator.CreateMulticlassPipelineEnsemble(Env,
2191
var
binaryEnsembleModel = EnsembleCreator.CreateBinaryPipelineEnsemble(Env,
2197
var
binaryEnsembleCalibrated = Calibrate.Platt(Env,
4257
var
model = LbfgsLogisticRegressionBinaryTrainer.TrainBinary(Env, lrInput).PredictorModel;
4266
var
mcModel = LbfgsMaximumEntropyMulticlassTrainer.TrainMulticlass(Env, mcLrInput).PredictorModel;
4327
var
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
"/>.