classifier dimension=2
Mixture of experts=class=ExpertMixture, experts=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[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)=class=Point name=Unnamed dimension=1 values=[0.3]
moe(-0.1)=class=Point name=Unnamed dimension=1 values=[0.1]
moe(0.1)=class=Point name=Unnamed dimension=1 values=[0.1]
moe(0.3)=class=Point name=Unnamed dimension=1 values=[0.3]
moe(0.5)=class=Point name=Unnamed dimension=1 values=[0.5]
