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java.lang.Objectca.nengo.math.impl.AbstractFunction
ca.nengo.model.plasticity.impl.AbstractRealLearningFunction
public abstract class AbstractRealLearningFunction
Defines the input available to a real-valued learning rule function.
| Field Summary |
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| Fields inherited from class ca.nengo.math.impl.AbstractFunction |
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DIMENSION_PROPERTY |
| Constructor Summary | |
|---|---|
AbstractRealLearningFunction()
Ensures that the function is of the correct dimension. |
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| Method Summary | |
|---|---|
AbstractRealLearningFunction |
clone()
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float |
map(float[] from)
Calls deltaOmega. |
| Methods inherited from class ca.nengo.math.impl.AbstractFunction |
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getDimension, multiMap |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public AbstractRealLearningFunction()
| Method Detail |
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public float map(float[] from)
map in interface Functionmap in class AbstractFunctionfrom - Must have same length as getDimension()
Function.map(float[])
public AbstractRealLearningFunction clone()
throws java.lang.CloneNotSupportedException
clone in interface Functionclone in class AbstractFunctionjava.lang.CloneNotSupportedExceptionObject.clone()
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