HashingTransformer Class
Definition
Important
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ITransformer resulting from fitting a HashingEstimator.
public sealed class HashingTransformer : Microsoft.ML.Data.OneToOneTransformerBasetype HashingTransformer = class
inherit OneToOneTransformerBasePublic NotInheritable Class HashingTransformer
Inherits OneToOneTransformerBase- Inheritance
Methods
| Name | Description |
|---|---|
| GetOutputSchema(DataViewSchema) | (Inherited from RowToRowTransformerBase) |
| Transform(IDataView) | (Inherited from RowToRowTransformerBase) |
Explicit Interface Implementations
| Name | Description |
|---|---|
| ICanSaveModel.Save(ModelSaveContext) | (Inherited from RowToRowTransformerBase) |
| ITransformer.GetRowToRowMapper(DataViewSchema) | (Inherited from RowToRowTransformerBase) |
| ITransformer.IsRowToRowMapper | (Inherited from RowToRowTransformerBase) |
Extension Methods
| Name | Description |
|---|---|
| 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. |
| 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. |
| GetColumnPairs(OneToOneTransformerBase) |
Returns the names of the input-output column pairs on which the transformation is applied. |
| Preview(ITransformer, IDataView, Int32) |
Preview an effect of the |