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 #86

Full Changelog: v1.6.4...v1.7.0

What's Changed

• feat: new method include_regularization_terms() for l1 and l2 by @mwong009 in #86

Full Changelog: v1.6.4...v1.7.0