Learning

In this section we provide few learning scenarios for circuits. In general, learning tasks for PCs can be separted into two categories: parameter learning and structure learning.

Structures

Currently we are supporting the following structures:

• HiddenChowLiuTrees: See hclt.
• RAT-SPNs: See RAT.

Parameter Learning

Currently we are supporting the following parameters learning APIs:

• mini_batch_em
• full_batch_em

Future Docs

• Learning a circuit from missing data
• Learn a mixture of circuits
• Learn a circuit from logical constraints and data