predictive
relationalai.semantics.reasoners
RelationalAI Predictive Reasoner using Graph Neural Networks (GNNs).
The Predictive Reasoner generates meaningful predictions from your relational data, supporting decision-intelligence tasks like identifying potential churn, detecting fraud, and more.
It provides a declarative Python API for formulating prediction problems — node classification, regression, or link prediction — and solving them with Graph Neural Networks.
Classes
Classes exposed by this module.
GNNTrain, load, register and predict with a Graph Neural Network. Re-exported from
relationalai.semantics.reasoners.predictive.estimator.PropertyTransformerAnnotate concept fields with semantic types for GNN data preparation. Re-exported from
relationalai.semantics.reasoners.predictive.property_transformer.Modules and Subpackages
Submodules and subpackages available under this namespace.
property_transformerSemantic type annotations for GNN feature columns.
estimatorGNN estimator for training, loading, registering and predicting with Graph Neural Networks.