IPredictionTransformer<TModel> Interface


An interface for all the transformer that can transform data based on the Microsoft.ML.IPredictor field. The implemendations of this interface either have no feature column, or have more than one feature column, and cannot implement the ISingleFeaturePredictionTransformer<TModel>, which most of the ML.Net tranformer implement.

public interface IPredictionTransformer<out TModel> : Microsoft.ML.ITransformer where TModel : class
type IPredictionTransformer<'Model (requires 'Model : null)> = interface
    interface ITransformer
    interface ICanSaveModel
Public Interface IPredictionTransformer(Of Out TModel)
Implements ITransformer

Type Parameters


The Microsoft.ML.IPredictor or ICalibrator used for the data transformation.




Whether a call to GetRowToRowMapper(DataViewSchema) should succeed, on an appropriate schema.

(Inherited from ITransformer)



Schema propagation for transformers. Returns the output schema of the data, if the input schema is like the one provided.

(Inherited from ITransformer)

Constructs a row-to-row mapper based on an input schema. If IsRowToRowMapper is false, then an exception should be thrown. If the input schema is in any way unsuitable for constructing the mapper, an exception should likewise be thrown.

(Inherited from ITransformer)
Save(ModelSaveContext) (Inherited from ICanSaveModel)

Take the data in, make transformations, output the data. Note that IDataView's are lazy, so no actual transformations happen here, just schema validation.

(Inherited from ITransformer)

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, 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