public static class GeometricDistribution.MaximumLikelihoodEstimator extends AbstractCloneableSerializable implements DistributionEstimator<java.lang.Number,GeometricDistribution>
Constructor and Description |
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MaximumLikelihoodEstimator()
Default constructor
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Modifier and Type | Method and Description |
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GeometricDistribution.PMF |
learn(java.util.Collection<? extends java.lang.Number> data)
The
learn method creates an object of ResultType using
data of type DataType , using some form of "learning" algorithm. |
clone
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
clone
public MaximumLikelihoodEstimator()
public GeometricDistribution.PMF learn(java.util.Collection<? extends java.lang.Number> data)
BatchLearner
learn
method creates an object of ResultType
using
data of type DataType
, using some form of "learning" algorithm.learn
in interface BatchLearner<java.util.Collection<? extends java.lang.Number>,GeometricDistribution>
data
- The data that the learning algorithm will use to create an
object of ResultType
.