myDefautModel =  SquaredExponential(scale=[2], amplitude=[3])
myModel =  SquaredExponential(scale=[2], amplitude=[3])
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.21802]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.21802]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[1.21802]
dCov/dP= [[ 2.436 ]
 [ 0.812 ]]
myModel =  SquaredExponential(scale=[2,2], amplitude=[3])
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0026644]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.0026644,0.0046627]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.00266441,0.00466274]
dCov/dP= [[ 0.005329 ]
 [ 0.01632  ]
 [ 0.001776 ]]
myDefautModel =  GeneralizedExponential(scale=[2], amplitude=[3], p=1.5)
myModel =  GeneralizedExponential(scale=[2], amplitude=[3], p=1.5)
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.531952]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.56422]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.564223]
dCov/dP= [[ 1.128  ]
 [ 0.3546 ]]
myModel =  GeneralizedExponential(scale=[2,2], amplitude=[3], p=1.5)
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.00274948]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.00205413,0.00359473]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.00205414,0.00359475]
dCov/dP= [[ 0.004108 ]
 [ 0.01258  ]
 [ 0.001833 ]]
myDefautModel =  AbsoluteExponential(scale=[2], amplitude=[3])
myModel =  AbsoluteExponential(scale=[2], amplitude=[3])
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.21802]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.609009]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.60901]
dCov/dP= [[ 1.218 ]
 [ 0.812 ]]
myModel =  AbsoluteExponential(scale=[2,2], amplitude=[3])
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0367809]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.0183905,0.0183905]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.0183905,0.0183905]
dCov/dP= [[ 0.03678 ]
 [ 0.06437 ]
 [ 0.02452 ]]
myDefautModel =  MaternModel(scale=[2], amplitude=[3], nu=1.5)
myModel =  MaternModel(scale=[2], amplitude=[3], nu=1.5)
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.25758]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.84513]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.845133]
dCov/dP= [[ 1.69   ]
 [ 0.8384 ]]
myModel =  MaternModel(scale=[2,2], amplitude=[3], nu=1.5)
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0666906]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.025065,0.0438637]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.025065,0.0438639]
dCov/dP= [[ 0.05013 ]
 [ 0.1535  ]
 [ 0.04446 ]]
myDefautModel =  class=ExponentiallyDampedCosineModel(scale=[2], amplitude=[3], frequency=1.5)
myModel =  class=ExponentiallyDampedCosineModel(scale=[2], amplitude=[3], frequency=1.5)
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.406006]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.203003]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.202983]
dCov/dP= [[ 0.406  ]
 [ 0.1353 ]]
myModel =  class=ExponentiallyDampedCosineModel(scale=[2,2], amplitude=[3], frequency=1.5)
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0522473]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.0290952,0.0509166]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.0290946,0.0509148]
dCov/dP= [[ 0.05819 ]
 [ 0.1782  ]
 [ 0.01742 ]]
myDefautModel =  SphericalModel(scale=[2], amplitude=[3], radius=4.5)
myModel =  SphericalModel(scale=[2], amplitude=[3], radius=4.5)
active= [0,1]
parameter= [2,3]
parameterDescription= [scale_0,amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1.13169]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.401235]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.401235]
dCov/dP= [[ 0.8025 ]
 [ 0.3772 ]]
myModel =  SphericalModel(scale=[2,2], amplitude=[3], radius=4.5)
active= [0,1,2]
parameter= [2,2,3]
parameterDescription= [scale_0,scale_1,amplitude_0]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0471566]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.0490014,0.0857524]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.0490015,0.0857528]
dCov/dP= [[ 0.098   ]
 [ 0.3001  ]
 [ 0.01572 ]]
myDefautModel =  DiracCovarianceModel(t)=[[ 1 ]] * t==[0]
myModel =  DiracCovarianceModel(t)=[[ 1 ]] * t==[0]
active= [0]
parameter= [1]
parameterDescription= [amplitude_0]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0]
dCov/dP= [[ 0 ]]
myModel =  DiracCovarianceModel(t)=[[  2.25   2.625 ]
 [  2.625 12.25  ]] * t==[0,0]
active= [0,1]
parameter= [1.5,3.5]
parameterDescription= [amplitude_0,amplitude_1]
myModel( [0.5, 0.0] ,  [0.5, 0.0] )= class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[2.25,2.625,2.625,12.25]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=4 values=[0,0,0,0,0,0,0,0]
dCov (FD)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=4 values=[-225000,-225000,-262500,-262500,-262500,-262500,-1.225e+06,-1.225e+06]
dCov/dP= [[ 3    1.75 0    ]
 [ 0    0.75 7    ]]
myDefautModel =  class=ProductCovarianceModel input dimension=1 models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]]
myModel =  class=ProductCovarianceModel input dimension=1 models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]]
active= [0,1]
parameter= [1,1]
parameterDescription= [scale_0,amplitude]
myModel( [-1] ,  [3] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0183156]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0183156]
dCov (FD)= class=Point name=Unnamed dimension=1 values=[0.0183157]
dCov/dP= [[ 0.07326 ]
 [ 0.03663 ]]
myModel =  class=ProductCovarianceModel input dimension=2 models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[2] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=SquaredExponential scale=class=Point name=Unnamed dimension=1 values=[2] amplitude=class=Point name=Unnamed dimension=1 values=[1]]
active= [0,1,2]
parameter= [2,2,9]
parameterDescription= [scale_0,scale_1,amplitude]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0239796]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.0119898,0.0419643]
dCov (FD)= class=Point name=Unnamed dimension=2 values=[0.0119898,0.0419647]
dCov/dP= [[ 0.02398  ]
 [ 0.1469   ]
 [ 0.005329 ]]
myModel =  class=TensorizedCovarianceModel input dimension=2, dimension = 4, models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=2 values=[2,2] amplitude=class=Point name=Unnamed dimension=1 values=[3],class=SquaredExponential scale=class=Point name=Unnamed dimension=2 values=[2,2] amplitude=class=Point name=Unnamed dimension=1 values=[3],class=ExponentialModel scale=class=Point name=Unnamed dimension=2 values=[1,1] amplitude=class=Point name=Unnamed dimension=2 values=[4,2] spatial correlation=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.3,0.3,1] isDiagonal=false]
active= [0,1,2,3,4]
parameter= [1,3,3,4,2]
parameterDescription= [scale_0,amplitude_0,amplitude_1,amplitude_2,amplitude_3]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[0.0367809,0,0,0,0,0.0026644,0,0,0,0,0.00504343,0.000756514,0,0,0.000756514,0.00126086]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[0.0183905,0.0183905,0,0,0,0,0,0,0,0,0.0026644,0.0046627,0,0,0,0,0,0,0,0,0.00250224,0.00437892,0.000375336,0.000656838,0,0,0,0,0.000375336,0.000656838,0.00062556,0.00109473]
dCov (FD)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[0.0183905,0.0183905,0,0,0,0,0,0,0,0,0.00266441,0.00466274,0,0,0,0,0,0,0,0,0.00250225,0.00437894,0.000375337,0.000656841,0,0,0,0,0.000375337,0.000656841,0.000625561,0.00109474]
myModel =  class=TensorizedCovarianceModel input dimension=2, dimension = 4, models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=2 values=[2.5,1.5] amplitude=class=Point name=Unnamed dimension=1 values=[3],class=SquaredExponential scale=class=Point name=Unnamed dimension=2 values=[2.5,1.5] amplitude=class=Point name=Unnamed dimension=1 values=[3],class=ExponentialModel scale=class=Point name=Unnamed dimension=2 values=[1.25,0.75] amplitude=class=Point name=Unnamed dimension=2 values=[4,2] spatial correlation=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.3,0.3,1] isDiagonal=false]
active= [0,1,2,3,4]
parameter= [2.5,1.5,3,3,4]
parameterDescription= [scale_0,scale_1,amplitude_0,amplitude_1,amplitude_2]
myModel( [-1,-2] ,  [3,5] )= class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[0.0170869,0,0,0,0,4.67048e-05,0,0,0,0,0.000830006,0.000124501,0,0,0.000124501,0.000207501]
dCov = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[0.00683477,0.0113913,0,0,0,0,0,0,0,0,2.98911e-05,0.000145304,0,0,0,0,0,0,0,0,0.000215353,0.00104685,3.23029e-05,0.000157028,0,0,0,0,3.23029e-05,0.000157028,5.38382e-05,0.000261714]
dCov (FD)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[0.00683478,0.0113913,0,0,0,0,0,0,0,0,2.98911e-05,0.000145306,0,0,0,0,0,0,0,0,0.000215353,0.00104686,3.23029e-05,0.000157029,0,0,0,0,3.23029e-05,0.000157029,5.38382e-05,0.000261715]
