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PlattCalibratorTransformer Class

Definition

The ITransformer implementation obtained by training a FixedPlattCalibratorEstimator or a PlattCalibratorEstimator.

public sealed class PlattCalibratorTransformer : Microsoft.ML.Calibrators.CalibratorTransformer<Microsoft.ML.Calibrators.PlattCalibrator>
type PlattCalibratorTransformer = class
    inherit CalibratorTransformer<PlattCalibrator>
Public NotInheritable Class PlattCalibratorTransformer
Inherits CalibratorTransformer(Of PlattCalibrator)
Inheritance

Methods

GetOutputSchema(DataViewSchema) (Inherited from RowToRowTransformerBase)
Transform(IDataView) (Inherited from RowToRowTransformerBase)

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext) (Inherited from RowToRowTransformerBase)
IPredictionTransformer<TICalibrator>.Model (Inherited from CalibratorTransformer<TICalibrator>)
ISingleFeaturePredictionTransformer<TICalibrator>.FeatureColumnName (Inherited from CalibratorTransformer<TICalibrator>)
ISingleFeaturePredictionTransformer<TICalibrator>.FeatureColumnType (Inherited from CalibratorTransformer<TICalibrator>)
ITransformer.GetRowToRowMapper(DataViewSchema) (Inherited from RowToRowTransformerBase)
ITransformer.IsRowToRowMapper (Inherited from CalibratorTransformer<TICalibrator>)

Extension Methods

Preview(ITransformer, IDataView, Int32)

Preview an effect of the transformer on a given data.

Append<TTrans>(ITransformer, TTrans)

Create a new transformer chain, by appending another transformer to the end of this transformer chain.

CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, PredictionEngineOptions)

TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.

CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, Boolean, SchemaDefinition, SchemaDefinition)

TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.

Applies to