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Foundational library for Kernel methods in pattern analysis and machine learning

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straight forward implementation of `__add__`, `__mul__`, `__sub__` etc for the `KernelMatrix` class, with some smart optimizations when possible.

enhancement

so far only full/dense arrays were tested thoroughly. Deeper/broader testing for sparse arrays would be helpful. This is not expected to take much time.

enhancement

there is existing work on parallelizing KM computation for large N: #3. It needs to be studied thoroughly for computational and storage efficiencies. Also, if the better internal data structure...

help wanted

this profiling can help find bottlenecks and improve implementation with better internal efficiencies

help wanted