StatefulCustomMappingTransformer<TSrc,TDst,TState> Class
Definition
Important
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ITransformer resulting from fitting an StatefulCustomMappingEstimator<TSrc,TDst,TState>.
public sealed class StatefulCustomMappingTransformer<TSrc,TDst,TState> : Microsoft.ML.ITransformer where TSrc : class, new() where TDst : class, new() where TState : class, new()
type StatefulCustomMappingTransformer<'Src, 'Dst, 'State (requires 'Src : null and 'Src : (new : unit -> 'Src) and 'Dst : null and 'Dst : (new : unit -> 'Dst) and 'State : null and 'State : (new : unit -> 'State))> = class
interface ITransformer
interface ICanSaveModel
Public NotInheritable Class StatefulCustomMappingTransformer(Of TSrc, TDst, TState)
Implements ITransformer
Type Parameters
- TSrc
The class defining which columns to take from the incoming data.
- TDst
The class defining which new columns are added to the data.
- TState
The type that describes per-cursor state.
- Inheritance
-
StatefulCustomMappingTransformer<TSrc,TDst,TState>
- Implements
Methods
GetOutputSchema(DataViewSchema) |
Returns the DataViewSchema which would be produced by the transformer applied to
an input data with schema |
Transform(IDataView) |
Take the data in, make transformations, output the data. Note that IDataView's are lazy, so no actual transformations happen here, just schema validation. |
Explicit Interface Implementations
ICanSaveModel.Save(ModelSaveContext) | |
ITransformer.GetRowToRowMapper(DataViewSchema) |
Constructs a row-to-row mapper based on an input schema. If IsRowToRowMapper
is |
ITransformer.IsRowToRowMapper |
Whether a call to GetRowToRowMapper(DataViewSchema) should succeed, on an appropriate schema. |
Extension Methods
Preview(ITransformer, IDataView, Int32) |
Preview an effect of the |
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. |