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Packages that use Cooling | |
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databionics.esom.cooling | Provides strategies for cooling of a parameter, like the learning rate for SOM training. |
databionics.esom.train | Implementation of training algorithms. |
Uses of Cooling in databionics.esom.cooling |
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Subclasses of Cooling in databionics.esom.cooling | |
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class |
CachedCooling
Abstract base class for cooling of a parameter with a cache of precalculated values. |
class |
CenterCooling
Linear cooling of a parameter centered between constant non cooling periods in the first and last 1/5th of the steps |
class |
ExponentialCooling
Exponential cooling of a parameter. |
class |
LinearCooling
Linear cooling of a parameter. |
class |
NoCooling
Constant 'cooling' of a parameter. |
Uses of Cooling in databionics.esom.train |
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Fields in databionics.esom.train declared as Cooling | |
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protected Cooling |
SOM.radiusCooling
cooling strategy of neighborhood radius |
protected Cooling |
SOM.rateCooling
cooling strategy of learning rate |
Methods in databionics.esom.train that return Cooling | |
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Cooling |
SOM.getRadiusCooling()
Get the cooling strategy of the neighborhood radius. |
Cooling |
SOM.getRateCooling()
Get the cooling strategy of learning rate. |
Methods in databionics.esom.train with parameters of type Cooling | |
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void |
SOM.setRadiusCooling(Cooling v)
Set the cooling strategy of the neighborhood radius. |
void |
SOM.setRateCooling(Cooling v)
Set the cooling strategy of learning rate. |
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