Sum-Product Network Demo
Probabilistic Database
This browser-based demo contains an SPN trained on incomplete data. Queries may include exact, missing, interval-censored, or set-valued evidence. The page displays the resulting marginal distributions, relationships, and sampled rows.
What This Is
The demo addresses conditional-probability queries on incomplete data that table filters alone cannot answer. The trained SPN defines a joint distribution that can be conditioned on partial row values, unknown fields, ranges, or sets. A single fitted model supports repeated conditional-distribution and sampling queries as the evidence changes.
The model is trained offline and exported to the browser. Its database-like queries are evaluated from the fitted joint distribution and do not call a backend.
Dataset
Query
Everything below updates based on the selected query.