org.shapelogic.machinelearning
Class FFNeuralNetworkStream

java.lang.Object
  org.shapelogic.machinelearning.FFNeuralNetworkStream

public class FFNeuralNetworkStream
extends java.lang.Object

FFNeuralNetworkStream a feed forward neural network wrapped in a stream.
Streams involved:

ArrayOutputListStream: A list of names of input features that need to be streams

FFNeuralNetwork: Creates stream of double[] from the neural network

ConfidenceArrayListStream: Creat result stream of String

Which of these needs names? None of them.

It seems like the last stream will have the same output as the overall stream is the overall then really needed? No.

There should probably be a stack of Streams.
This could possibly be a LISP list, no there is no advantage to this.
The whole think should be created lazily, but when it gets created, you can directly pipe one into the next.
What should trigger the setup?
As long as the first have a lazy setup we should be fine and it does.
So the first should be any type of ListStream, while the next have to be ListCalcStream1 or any ListStream with one input.

Author:

Sami Badawi

Field Summary

static java.lang.String	DEFAULT_OUTPUT_NAME
static java.lang.String	DEFAULT_RESULT_NAME

Constructor Summary

FFNeuralNetworkStream(FFNeuralNetworkWeights fFNeuralNetworkWeights, RecursiveContext recursiveContext)

FFNeuralNetworkStream(java.util.List<java.lang.String> featureList, java.util.List<java.lang.String> ohList, double[][] weights, RecursiveContext recursiveContext)

FFNeuralNetworkStream(java.util.List<java.lang.String> featureList, java.util.List<java.lang.String> ohList, double[][] weights, java.lang.String[] streamNames, RecursiveContext recursiveContext)

FFNeuralNetworkStream(java.util.List<java.lang.String> featureList, java.util.List<java.lang.String> ohList, double[][] weights, java.lang.String[] streamNames, RecursiveContext recursiveContext, int maxLast)
FFNeuralNetworkStream is not a normal stream, 3 streams are created here.

FFNeuralNetworkStream(java.lang.String[] featureList, java.lang.String[] ohList, double[][] weights, RecursiveContext recursiveContext)

FFNeuralNetworkStream(java.lang.String[] featureList, java.lang.String[] ohList, double[][] weights, java.lang.String[] streamNames, RecursiveContext recursiveContext)

FFNeuralNetworkStream(java.lang.String[] featureList, java.lang.String[] ohList, double[][] weights, java.lang.String[] streamNames, RecursiveContext recursiveContext, int maxLast)

Method Summary

ListStream<double[]>	getFeatureStream()
ListCalcStream1<double[],double[]>	getNeuralNetworkStream()
ListCalcStream1<double[],java.lang.String>	getOutputStream()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_RESULT_NAME

public static final java.lang.String DEFAULT_RESULT_NAME

See Also:

Constant Field Values

DEFAULT_OUTPUT_NAME

public static final java.lang.String DEFAULT_OUTPUT_NAME

See Also:

Constant Field Values

Constructor Detail

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.util.List<java.lang.String> featureList,
                             java.util.List<java.lang.String> ohList,
                             double[][] weights,
                             java.lang.String[] streamNames,
                             RecursiveContext recursiveContext,
                             int maxLast)

FFNeuralNetworkStream is not a normal stream, 3 streams are created here.

Parameters:

featureList - Names of feature input streams

ohList - Names of output

weights - Weights of neural network

streamNames - if this is given then add 3 new streams as named streams to the context

recursiveContext - RecursiveContext to look for streams

maxLast - Set fixed length of stream

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.util.List<java.lang.String> featureList,
                             java.util.List<java.lang.String> ohList,
                             double[][] weights,
                             java.lang.String[] streamNames,
                             RecursiveContext recursiveContext)

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.util.List<java.lang.String> featureList,
                             java.util.List<java.lang.String> ohList,
                             double[][] weights,
                             RecursiveContext recursiveContext)

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.lang.String[] featureList,
                             java.lang.String[] ohList,
                             double[][] weights,
                             java.lang.String[] streamNames,
                             RecursiveContext recursiveContext,
                             int maxLast)

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.lang.String[] featureList,
                             java.lang.String[] ohList,
                             double[][] weights,
                             java.lang.String[] streamNames,
                             RecursiveContext recursiveContext)

FFNeuralNetworkStream

public FFNeuralNetworkStream(java.lang.String[] featureList,
                             java.lang.String[] ohList,
                             double[][] weights,
                             RecursiveContext recursiveContext)

FFNeuralNetworkStream

public FFNeuralNetworkStream(FFNeuralNetworkWeights fFNeuralNetworkWeights,
                             RecursiveContext recursiveContext)

Method Detail

getFeatureStream

public ListStream<double[]> getFeatureStream()

getNeuralNetworkStream

public ListCalcStream1<double[],double[]> getNeuralNetworkStream()

getOutputStream

public ListCalcStream1<double[],java.lang.String> getOutputStream()