com.marmoush.jann.model.regression.linear
Class LinearRegression
java.lang.Object
com.marmoush.jann.Layer
com.marmoush.jann.sv.SvLayer
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)
|
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 |
LinearRegression
public LinearRegression(DoubleMatrix batchTrainingEx,
DoubleMatrix batchTargets,
boolean biased)
LinearRegression
public LinearRegression(List<DoubleMatrix> trainingEx,
List<DoubleMatrix> targetList,
boolean biased)
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