File: t_ProductCovarianceModel_std.expout

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1D Full parameter :  [0.5,1e-12,1,2.5]
1D active cov. param.:  ['scale_0', 'amplitude_0']
Activate nu parameter
active cov. param.:  ['scale_0', 'amplitude_0', 'nu']
Matern d-dimensional covariance as product
Full parameter :  [0.5,0.5,0.5,1e-12,1,2.5,2.5,2.5]
active cov. param.:  ['scale_0', 'scale_1', 'scale_2', 'amplitude_0', 'nu_0', 'nu_1', 'nu_2']
Disable nu for marginals 0 & 1 parameter :  [0.5,0.5,0.5,1e-12,1,2.5,2.5,2.5]
active cov. param.:  ['scale_0', 'scale_1', 'scale_2', 'amplitude_0', 'nu_2']
Check that active parameter is correctly propagated
Model  0  : active cov. param.:  ['scale_0', 'amplitude_0']
Model  1  : active cov. param.:  ['scale_0', 'amplitude_0']
Model  2  : active cov. param.:  ['scale_0', 'amplitude_0', 'nu']
Model 1 :  [scale_0,nuggetFactor,amplitude_0,nu]
Activate nu parameter and disable sigma2
model1 active parameter:  ['scale_0', 'nuggetFactor', 'nu']
Model 2 :  [scale_0,nuggetFactor,amplitude_0,frequency]
Activate freq parameter
model2 active parameter:  ['scale_0', 'amplitude_0', 'frequency']
Activate nuggetFactor parameter
model2 active parameter:  ['scale_0', 'nuggetFactor', 'amplitude_0', 'frequency']
Product covariance model
Full parameter :  [1,1,1e-12,1,2.5,1]
active cov. param.:  ['scale_0', 'scale_1', 'nuggetFactor', 'amplitude_0', 'nu_0', 'frequency_1']