NetworkInvoker

java.lang.Object
- org.ojalgo.ann.WrappedANN
- - org.ojalgo.ann.NetworkInvoker

All Implemented Interfaces:

java.util.function.Supplier<ArtificialNeuralNetwork>, BasicFunction, BasicFunction.PlainUnary<Access1D<java.lang.Double>,MatrixStore<java.lang.Double>>
```
public class NetworkInvoker
extends WrappedANN
implements BasicFunction.PlainUnary<Access1D<java.lang.Double>,MatrixStore<java.lang.Double>>
```

Nested Class Summary
- Nested classes/interfaces inherited from interface org.ojalgo.function.BasicFunction
  BasicFunction.Differentiable<N extends java.lang.Comparable<N>,F extends BasicFunction>, BasicFunction.Integratable<N extends java.lang.Comparable<N>,F extends BasicFunction>, BasicFunction.PlainUnary<T,R>

Constructor Summary

Constructors
Constructor Description

NetworkInvoker(ArtificialNeuralNetwork network, int batchSize)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`MatrixStore<java.lang.Double>`	`invoke(Access1D<java.lang.Double> input)`	The input argument is typed as `Access1D` which essentially means it can be anything.

Methods inherited from class org.ojalgo.ann.WrappedANN
adjust, depth, equals, get, getActivator, getBatchSize, getBias, getInput, getInput, getOutput, getOutput, getOutputActivator, getWeight, getWeights, hashCode, invoke, newInputBatch, newOutputBatch, randomise, setActivator, setBias, setWeight, structure

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NetworkInvoker
```
NetworkInvoker(ArtificialNeuralNetwork network,
               int batchSize)
```
- Method Detail
  - invoke
```
public MatrixStore<java.lang.Double> invoke(Access1D<java.lang.Double> input)
```
    The input argument is typed as Access1D which essentially means it can be anything. If the batch size is anything other than 1 this needs to be a 2D structure with the number of rows matching the batch size. The return type is a MatrixStore where the number of rows match the batch size and the number of columns match the number of output nodes. A DataBatch may help when creating the batches or you simply create any 2D data structure and fill the rows.
    
    Specified by:
    
    invoke in interface BasicFunction.PlainUnary<Access1D<java.lang.Double>,MatrixStore<java.lang.Double>>
    
    See Also:
    
    BasicFunction.PlainUnary.invoke(java.lang.Object)