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distributions that are tricky to sample from or test
infrequently-used fitting methods or distributions
any code that requires additional optimization before it can be used in practice
IMHO: pymc-experimental should be the first step for all new features as a sandbox/proving ground for pymc. I think this would allow for more stability of pymc and a regular release schedule into which new features can then be lifted from pymc-experimental as appropriate.
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Currently the ReadMe says:
IMHO:
pymc-experimentalshould be the first step for all new features as a sandbox/proving ground forpymc. I think this would allow for more stability ofpymcand a regular release schedule into which new features can then be lifted frompymc-experimentalas appropriate.Beta Was this translation helpful? Give feedback.
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