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=Point name=Unnamed dimension=2 values=[-1,1] sigma=class=Point 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=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point 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 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=1 data=[[0],[1]] probabilities=class=Point name=Unnamed dimension=2 values=[0.5,0.5]
moe   ( -0.3 )= [0.3]
moeNMF( -0.3 )= [0.3]
moe   ( -0.1 )= [0.1]
moeNMF( -0.1 )= [0.1]
x= 0 : [ -0.3 ]
1 : [  0.1 ] moeNMF(x)= 0 : [ 0.3 ]
1 : [ 0.1 ]
Mixture of experts= experts=Basis( [[x1,x2]->[-8],[x1,x2]->[8]] )
classifier=class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=2 distributionCollection=[class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[-1,1] sigma=class=Point 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=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point 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 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=1 data=[[0],[1]] probabilities=class=Point name=Unnamed dimension=2 values=[0.5,0.5]
moe   ( -1, 1 )= [-8]
moeNMF( -1, 1 )= [-8]
moe   ( 1, 1 )= [8]
moeNMF( 1, 1 )= [8]
x= 0 : [ -1  1 ]
1 : [  1  1 ] moeNMF(x)= 0 : [ -8 ]
1 : [  8 ]
