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Currently, we construct a new function-space hash function along the lines of
hashfn =MonteCarloHash(ℓ2, μ, args...; kws...)
This isn't very intuitive; it would make more sense to use L2 instead of ℓ2 since the former is a distance on a function space and the latter works over discrete vectors. ChebHash and MonteCarloHash should be modified so that they accept the function-space similarity that they are using rather than the corresponding discrete-space similarity.
The text was updated successfully, but these errors were encountered:
kernelmethod
changed the title
Change function space hashing API to accept the L^p-space simila/rity instead of corresponding l^p-space similarity
Change function space hashing API to accept an L^2-space similarity instead of corresponding l^2-space similarity
Feb 9, 2020
kernelmethod
changed the title
Change function space hashing API to accept an L^2-space similarity instead of corresponding l^2-space similarity
Change function space hashing API to accept an L^p-space similarity instead of corresponding l^p-space similarity
Feb 9, 2020
Currently, we construct a new function-space hash function along the lines of
This isn't very intuitive; it would make more sense to use
L2
instead ofℓ2
since the former is a distance on a function space and the latter works over discrete vectors.ChebHash
andMonteCarloHash
should be modified so that they accept the function-space similarity that they are using rather than the corresponding discrete-space similarity.The text was updated successfully, but these errors were encountered: