CalibratorTransformer<TICalibrator> Class

Definition

Namespace:

Microsoft.ML.Calibrators

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v3.0.1

An instance of this class is the result of calling Fit(IDataView). If you pass a scored data, to the CalibratorTransformer<TICalibrator> Transform method, it will add the Probability column to the dataset. The Probability column is the value of the Score normalized to be a valid probability. The CalibratorTransformer<TICalibrator> is an instance of ISingleFeaturePredictionTransformer<TModel> where score can be viewed as a feature while probability is treated as the label.

public abstract class CalibratorTransformer<TICalibrator> : Microsoft.ML.Data.RowToRowTransformerBase, Microsoft.ML.IPredictionTransformer<TICalibrator>, Microsoft.ML.ISingleFeaturePredictionTransformer<TICalibrator>, Microsoft.ML.ITransformer where TICalibrator : class, ICalibrator

type CalibratorTransformer<'ICalibrator (requires 'ICalibrator : null and 'ICalibrator :> ICalibrator)> = class
    inherit RowToRowTransformerBase
    interface ISingleFeaturePredictionTransformer<'ICalibrator (requires 'ICalibrator : null and 'ICalibrator :> ICalibrator)>
    interface IPredictionTransformer<'ICalibrator (requires 'ICalibrator : null and 'ICalibrator :> ICalibrator)>
    interface ITransformer
    interface ICanSaveModel

Public MustInherit Class CalibratorTransformer(Of TICalibrator)
Inherits RowToRowTransformerBase
Implements IPredictionTransformer(Of TICalibrator), ISingleFeaturePredictionTransformer(Of TICalibrator), ITransformer

Type Parameters

TICalibrator

The ICalibrator used to transform the data.

Inheritance

Object

RowToRowTransformerBase

CalibratorTransformer<TICalibrator>

Derived

Microsoft.ML.Calibrators.IsotonicCalibratorTransformer

Microsoft.ML.Calibrators.NaiveCalibratorTransformer

Microsoft.ML.Calibrators.PlattCalibratorTransformer

Implements

ICanSaveModel IPredictionTransformer<TICalibrator> IPredictionTransformer<TModel> ISingleFeaturePredictionTransformer<TICalibrator> ITransformer

Methods

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

Explicit Interface Implementations

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

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.