LpNormNormalizingTransformer Class
Definition
Important
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ITransformer resulting from fitting a LpNormNormalizingEstimator or GlobalContrastNormalizingEstimator.
public sealed class LpNormNormalizingTransformer : Microsoft.ML.Data.OneToOneTransformerBase
type LpNormNormalizingTransformer = class
inherit OneToOneTransformerBase
Public NotInheritable Class LpNormNormalizingTransformer
Inherits OneToOneTransformerBase
- Inheritance
Methods
GetOutputSchema(DataViewSchema) | (Inherited from RowToRowTransformerBase) |
Transform(IDataView) | (Inherited from RowToRowTransformerBase) |
Explicit Interface Implementations
ICanSaveModel.Save(ModelSaveContext) | (Inherited from RowToRowTransformerBase) |
ITransformer.GetRowToRowMapper(DataViewSchema) | (Inherited from RowToRowTransformerBase) |
ITransformer.IsRowToRowMapper | (Inherited from RowToRowTransformerBase) |
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. |