1 interface inheriting from IPredictor
Microsoft.ML.Core (1)
Prediction\IPredictor.cs (1)
51
internal interface IPredictorProducing<out TResult> :
IPredictor
22 references to IPredictor
Microsoft.ML.Core (9)
EntryPoints\PredictorModel.cs (2)
38
internal abstract
IPredictor
Predictor { get; }
51
internal abstract void PrepareData(IHostEnvironment env, IDataView input, out RoleMappedData roleMappedData, out
IPredictor
predictor);
Prediction\IPredictor.cs (1)
12
/// <see cref="ITrainer"/> and <see cref="
IPredictor
"/> it is still useful, but for things based on
Prediction\ITrainer.cs (4)
62
IPredictor
Train(TrainContext context);
72
where TPredictor :
IPredictor
93
public static
IPredictor
Train(this ITrainer trainer, RoleMappedData trainData)
104
public static TPredictor Train<TPredictor>(this ITrainer<TPredictor> trainer, RoleMappedData trainData) where TPredictor :
IPredictor
Prediction\TrainContext.cs (2)
44
public
IPredictor
InitialPredictor { get; }
53
public TrainContext(RoleMappedData trainingSet, RoleMappedData validationSet = null, RoleMappedData testSet = null,
IPredictor
initialPredictor = null)
Microsoft.ML.Data (6)
Commands\TrainCommand.cs (1)
280
var
predictor = trainer.Train(new TrainContext(data, validData, testData, inputPredictor));
Prediction\IPredictionTransformer.cs (3)
11
/// An interface for all the transformer that can transform data based on the <see cref="
IPredictor
"/> field.
15
/// <typeparam name="TModel">The <see cref="
IPredictor
"/> or <see cref="ICalibrator"/> used for the data transformation.</typeparam>
27
/// <typeparam name="TModel">The <see cref="
IPredictor
"/> or <see cref="ICalibrator"/> used for the data transformation.</typeparam>
Scorers\SchemaBindablePredictorWrapper.cs (2)
32
/// This is a base class for wrapping <see cref="
IPredictor
"/>s in an <see cref="ISchemaBindableMapper"/>.
277
/// This class is a wrapper for all <see cref="
IPredictor
"/>s except for quantile regression predictors,
Microsoft.ML.FastTree (2)
TreeEnsembleFeaturizer.cs (2)
711
var
predictor = args.PredictorModel.Predictor;
714
args.PredictorModel.PrepareData(env, input, out data, out
var
predictor2);
Microsoft.ML.Mkl.Components (1)
SymSgdClassificationTrainer.cs (1)
222
var
initPred = context.InitialPredictor;
Microsoft.ML.StandardTrainers (3)
Standard\Online\OnlineLinear.cs (1)
277
var
initPredictor = context.InitialPredictor;
Standard\SdcaBinary.cs (1)
75
var
initPred = context.InitialPredictor;
Standard\StochasticTrainerBase.cs (1)
36
var
initPred = context.InitialPredictor;
Microsoft.ML.Tests (1)
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)
44
var
finalModel = ((ITrainer)secondTrainer).Train(new TrainContext(trainRoles, initialPredictor: firstModel.Model));