IidAnomalyDetectionBaseWrapper Class
Definition
Important
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The is the wrapper to Microsoft.ML.Transforms.TimeSeries.IidAnomalyDetectionBaseWrapper.IidAnomalyDetectionBase that computes the p-values and martingale scores for a supposedly i.i.d input sequence of floats. In other words, it assumes the input sequence represents the raw anomaly score which might have been computed via another process.
public class IidAnomalyDetectionBaseWrapper : Microsoft.ML.ITransformertype IidAnomalyDetectionBaseWrapper = class
interface ITransformer
interface ICanSaveModelPublic Class IidAnomalyDetectionBaseWrapper
Implements ITransformer- Inheritance
-
IidAnomalyDetectionBaseWrapper
- Derived
- Implements
Methods
| GetOutputSchema(DataViewSchema) |
Schema propagation for transformers. Returns the output schema of the data, if the input schema is like the one provided. |
| GetStatefulRowToRowMapper(DataViewSchema) |
Same as GetRowToRowMapper(DataViewSchema) but also supports mechanism to save the state. |
| 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) |
For saving a model into a repository. |
| 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. |