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The covariance functions in scikit-fda were originally used to generate Gaussian processes. Now, their inputs will be generalized to accept also FData objects, in order to compute a "similarity measure" between them. The name "covariance function" is not used in this context, preferring the name "kernel" instead. Currently, this name is used for the smoothing kernel, which is ALSO called kernel in the literature.
Desired functionality
Covariance functions should be renamed to "kernel", as this name is used in the literature for Gaussian processes and to compute similarities. The smoothing kernels should be renamed to SmoothingKernel, KDEKernel or something similar.
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Motivation
The covariance functions in scikit-fda were originally used to generate Gaussian processes. Now, their inputs will be generalized to accept also
FData
objects, in order to compute a "similarity measure" between them. The name "covariance function" is not used in this context, preferring the name "kernel" instead. Currently, this name is used for the smoothing kernel, which is ALSO called kernel in the literature.Desired functionality
Covariance functions should be renamed to "kernel", as this name is used in the literature for Gaussian processes and to compute similarities. The smoothing kernels should be renamed to
SmoothingKernel
,KDEKernel
or something similar.Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: