Contributing

Contributions to this repository are welcome and encouraged.

• Adding new functionality (new estimators, synthetic data generators, etc.).

• Filing bugs if you run into any errors or unexpected performance characteristics.

• Improving documentation.

• Checking in mechanisms you built on top of this library.

• Code that got cut during the migration might be nice to add back in under the new design.

• Calculate many marginals (theoretically more efficient than calling “project” multiple times)

• Answering Kronecker product queries

• Some approximate marginal inference oracles that were previously implemented did not get moved over, only the one we presented in our paper.

• Some examples were deleted rather than ported, since they took dependencies on other github repositories.

• Calculation of Lipschitz constant for L2 losses

• We did not refactor other marginal-based estimation algorithms in terms of the current design. PublicInference and MixtureInference, are still implemented in terms of the old API, and are in the experimental subpackage.