com.marmoush.jann.model.regression.linear
Class LinearRegression

java.lang.Object
  extended by com.marmoush.jann.Layer
      extended by com.marmoush.jann.sv.SvLayer
          extended by com.marmoush.jann.model.regression.linear.LinearRegression
All Implemented Interfaces:
IFillableLayer, ILayer, Serializable

public class LinearRegression
extends SvLayer

See Also:
Serialized Form

Constructor Summary
LinearRegression(DoubleMatrix batchTrainingEx, DoubleMatrix batchTargets, boolean biased)
           
LinearRegression(List<DoubleMatrix> trainingEx, List<DoubleMatrix> targetList, boolean biased)
           
 
Method Summary
 
Methods inherited from class com.marmoush.jann.sv.SvLayer
equals, getError, getLearnRate, getPerformance, getPerformancefnctr, getTarget, hashCode, setError, setLearnRate, setPerformance, setPerformancefnctr, setTarget, simulate, toString, updateError, updatePerformance
 
Methods inherited from class com.marmoush.jann.Layer
getBias, getInput, getNetSum, getOutput, getTheta, getTransfereFnctr, getWeight, getWeightFnctr, isBiased, isInputOnlyLayer, setBias, setBiased, setFill, setFillRandom, setFillRandomFloor, setFillRandomMinMax, setFillRandomMinMaxFloor, setInput, setInputOnlyLayer, setNetSum, setOutput, setTheta, setTransfereFnctr, setWeight, setWeightFnctr, updateNetSum, updateOutput
 
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
 

Constructor Detail

LinearRegression

public LinearRegression(DoubleMatrix batchTrainingEx,
                        DoubleMatrix batchTargets,
                        boolean biased)

LinearRegression

public LinearRegression(List<DoubleMatrix> trainingEx,
                        List<DoubleMatrix> targetList,
                        boolean biased)


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