Cortex

Documentation for Cortex. Cortex is a simple, efficient and modular framework for running message passing algorithms on graphs, with a focus on message-passing based Bayesian inference. This is a successor to the ReactiveMP.jl package.

Where To Go Next?

• Signals - Read about core reactive programming concepts with the Signal type.
• Inference - Learn how Cortex uses the InferenceEngine to perform inference on a probabilistic model.

Index

• Cortex.InferenceSignalTypes
• Cortex.InferenceSignalTypes.IndividualMarginal
• Cortex.InferenceSignalTypes.JointMarginal
• Cortex.InferenceSignalTypes.MessageToFactor
• Cortex.InferenceSignalTypes.MessageToVariable
• Cortex.InferenceSignalTypes.ProductOfMessages
• Cortex.InferenceEngine
• Cortex.Signal
• Cortex.SupportedModelBackend
• Cortex.UndefMetadata
• Cortex.UndefValue
• Cortex.UnsupportedModelBackend
• Cortex.add_dependency!
• Cortex.compute!
• Cortex.compute_value!
• Cortex.get_connected_factor_ids
• Cortex.get_connected_variable_ids
• Cortex.get_connection
• Cortex.get_connection_index
• Cortex.get_connection_label
• Cortex.get_dependencies
• Cortex.get_factor_data
• Cortex.get_factor_ids
• Cortex.get_listeners
• Cortex.get_marginal
• Cortex.get_message_to_factor
• Cortex.get_message_to_variable
• Cortex.get_metadata
• Cortex.get_model_backend
• Cortex.get_type
• Cortex.get_value
• Cortex.get_variable_data
• Cortex.get_variable_ids
• Cortex.is_backend_supported
• Cortex.is_computed
• Cortex.is_pending
• Cortex.prepare_signals_metadata!
• Cortex.process_dependencies!
• Cortex.request_inference_for
• Cortex.set_value!