CalibratorTransformer<TICalibrator> CalibratorTransformer<TICalibrator> CalibratorTransformer<TICalibrator> Class

Definition

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
CalibratorTransformer<TICalibrator>CalibratorTransformer<TICalibrator>CalibratorTransformer<TICalibrator>
Derived
Implements

Explicit Interface Implementations

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

Methods

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

Extension Methods

Preview(ITransformer, IDataView, Int32) Preview(ITransformer, IDataView, Int32) Preview(ITransformer, IDataView, Int32)

Preview an effect of the transformer on a given data.

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