PredictFns.AsyncPredictFn (zoltar-core 0.6.0-M1 API)

Type Parameters:

InputT - type of the feature extraction input.

VectorT - type of the feature extraction output.

ValueT - type of the prediction output.

Enclosing interface:

PredictFns

Functional Interface:

This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
```
@FunctionalInterface
public static interface PredictFns.AsyncPredictFn<ModelT extends Model<?>,InputT,VectorT,ValueT>
```
Asynchronous prediction functional interface. Allows to define prediction function via lambda, prediction is happens asynchronously.

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`CompletionStage<List<Prediction<InputT,ValueT>>>`	`apply(ModelT model, List<Vector<InputT,VectorT>> vectors)`	The functional interface.
`static <ModelT extends Model<?>,InputT,VectorT,ValueT> PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT>`	`lift(PredictFns.PredictFn<ModelT,InputT,VectorT,ValueT> fn)`	Lifts prediction function to asynchronous prediction function.
`default <C extends PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT>> C`	`with(Function<PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT>,C> fn)`

- Method Detail
  - lift
```
static <ModelT extends Model<?>,InputT,VectorT,ValueT> PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT> lift(PredictFns.PredictFn<ModelT,InputT,VectorT,ValueT> fn)
```
    Lifts prediction function to asynchronous prediction function.
    
    Type Parameters:
    
    ModelT - type of the Model
    
    InputT - type of the feature extraction input.
    
    VectorT - type of the feature extraction output.
    
    ValueT - type of the prediction output.
  - apply
```
CompletionStage<List<Prediction<InputT,ValueT>>> apply(ModelT model,
                                                             List<Vector<InputT,VectorT>> vectors)
```
    The functional interface. Your function/lambda takes model and features after extractions as input, should perform a asynchronous prediction and return the "future" of predictions.
    Note: if you have a synchronous implementation of prediction function you can use lift(com.spotify.zoltar.PredictFns.PredictFn<ModelT, InputT, VectorT, ValueT>) to make it asynchronous.
    
    Parameters:
    
    model - model to perform prediction on.
    
    vectors - extracted features.
    
    Returns:
    
    CompletionStage of predictions (Prediction).
  - with
```
default <C extends PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT>> C with(Function<PredictFns.AsyncPredictFn<ModelT,InputT,VectorT,ValueT>,C> fn)
```