mwong009/pycmtensor: v1.7.0

v1.7.0 (2023-09-22) Feat new option for selection of model acceptance pattern calculating distributed Beta now uses percentile instead of mean models: add new func compute to run the model on a manual set of params regularizers: new method include_regularization_terms() in BaseModel for adding regularizers Fix dependencies: prevent breakage of numpy 1.26 import compute from pycmtensor.models fix l2 regularizer formula set init_types as a module level list and add tests add minmax clipping on neural net layer outputs temporary function for negative relu expression fix for random draw variables Refactor relax the condition for stdout during training config: refactor config.add into .add() and .update() methods [master 7303576] bump: version 1.6.4 → 1.7.0 3 files changed, 27 insertions(+), 3 deletions(-) What's Changed feat: new method include_regularization_terms() for l1 and l2 by @mwong009 in https://github.com/mwong009/pycmtensor/pull/86 Full Changelog: https://github.com/mwong009/pycmtensor/compare/v1.6.4...v1.7.