Fixing multiplying by a constant #11
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Multiplying by a constant normally adds an extra parameter from the ConstantKernel, which breaks the code; we need to call ConstantKernel directly and specify that this should be an immutable parameter. Also removed the frivolous differences between rmjarvis/treegp (which this was originally cloned from) and pfleget/treegp (which this is being pushed to.
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@peterkentkiernan I am sorry to come back so late on that PR. I tried to reproduce the error but I am not able to reproduce it... I am using the version Do you have an example of the problem? |
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Dec 6, 2023
| else: | ||
| L = get_correlation_length_matrix(corr_length, g1, g2) | ||
| invLam = np.linalg.inv(L) | ||
| kernel_used = sigma**2 * self.kernel_class(invLam=invLam) |
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Having an example of this failing can be nice. I am not able to reproduce this error.
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Multiplying by a constant without specifying adds an extra parameter, which breaks the code. Instead, we need to specify that the parameter in the constant kernel should not be changed. (I also fixed some minor oversights on checking if e or g was out of bounds.)