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Mixture of experts= experts=Basis( [[x]->[-x],[x]->[x]] )
classifier=class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=2 distributionCollection=[class=Normal name=Normal dimension=2 mean=class=NumericalPoint name=Unnamed dimension=2 values=[-1,1] sigma=class=NumericalPoint name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,-0.99,-0.99,1],class=Normal name=Normal dimension=2 mean=class=NumericalPoint name=Unnamed dimension=2 values=[1,1] sigma=class=NumericalPoint name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.99,0.99,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 collection=[(class=NumericalPoint name=Unnamed dimension=1 values=[0],0.5),(class=NumericalPoint name=Unnamed dimension=1 values=[1],0.5)]
moe ( -0.3 )= [0.3]
moeNMF( -0.3 )= [0.3]
moe ( -0.1 )= [0.1]
moeNMF( -0.1 )= [0.1]
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