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We should have an easy way for users to incorporate their own dissimilarity metrics. Users should be able to write their dissimilarity metric in Python, which is then called via the C++ code.
User feedback suggests allowing users to pass the reference to the function that will compute distances. Asking the user to supply the O(n^2) distance matrix is of course infeasible.
This is a several-step task, including:
Making the Python function callable via the C++ (C++ bindings for the Python code); perhaps via some translation
Hi @motiwari , do you currently recommend implementing custom distance metrics locally? Or shall I create a branch, code the distance metric in C++ as you suggested in the README and create a PR?
We should have an easy way for users to incorporate their own dissimilarity metrics. Users should be able to write their dissimilarity metric in Python, which is then called via the C++ code.
User feedback suggests allowing users to pass the reference to the function that will compute distances. Asking the user to supply the O(n^2) distance matrix is of course infeasible.
This is a several-step task, including:
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