SsaForecastingTransformer Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
ITransformer resulting from fitting a SsaForecastingEstimator.
public sealed class SsaForecastingTransformer : Microsoft.ML.Transforms.TimeSeries.SsaForecastingBaseWrapper, Microsoft.ML.ITransformertype SsaForecastingTransformer = class
inherit SsaForecastingBaseWrapper
interface ITransformer
interface ICanSaveModelPublic NotInheritable Class SsaForecastingTransformer
Inherits SsaForecastingBaseWrapper
Implements ITransformer- Inheritance
- Implements
Methods
| GetOutputSchema(DataViewSchema) |
Schema propagation for transformers. Returns the output schema of the data, if the input schema is like the one provided. (Inherited from SsaForecastingBaseWrapper) |
| GetStatefulRowToRowMapper(DataViewSchema) |
Same as GetRowToRowMapper(DataViewSchema) but also supports mechanism to save the state. (Inherited from SsaForecastingBaseWrapper) |
| 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. (Inherited from SsaForecastingBaseWrapper) |
Explicit Interface Implementations
| ICanSaveModel.Save(ModelSaveContext) |
For saving a model into a repository. (Inherited from SsaForecastingBaseWrapper) |
| 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. (Inherited from SsaForecastingBaseWrapper) |
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. |