v0.6.0

What’s Changed

Sampling Backprop Op

• Add a SumOpSampleBackprop so that sampling is done easily.
• Add a zero_evidence_inference method to SequentialSumProductNetwork that can be used to infer values for all variables. Combined with SumOpSampleBackprop this results in samples from the network.
• Add a notebook with an example of how to sample from an SPN

Simplify PoonDomingosMeanOfQuantileSplit

• Remove support for normalization within. Expect data to be normalized.
• Accept tf.data.Dataset to allow for more consistency with class and method signatures of other library components.

Add PoonDomingosStddevOfQuantileSplit

• Add initializer for leaf scales based on same logic as PoonDomingosMeanOfQuantileSplit for leaf locations.

Other

• Fixes in docs
• Loosen dependency constraints so that installing libspn-keras is less likely to result in conflicts