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A home for new additions to PyMC, which may include unusual probability distribitions, advanced model fitting algorithms, or any code that may be inappropriate to include in the pymc repository, but may want to be made available to users.

Uploaded Mon Mar 31 01:12:30 2025
md5 checksum 44d7033b507566e2cb0827f3829d6dfb
arch x86_64
build py311h06a4308_0
depends pymc >=5.6.0, python >=3.11,<3.12.0a0, scikit-learn
license Apache-2.0
license_family APACHE
md5 44d7033b507566e2cb0827f3829d6dfb
name pymc-experimental
platform linux
sha1 4aee75d127482ccdf01fdc9944688d46b9615869
sha256 e3e16b338a91388d5a5c60c37920c8a20cd0ea3e5079b548bab1ef3657240b39
size 190912
subdir linux-64
timestamp 1690984796941
version 0.0.9