Module classifiers 

First-class genome classifier assembly.

A classifier is packaging around two memory areas joined by associative_memory. It is stored under the top-level genome key classifiers, parallel to brain_regions. It is not a brain region and is not exportable as a circuit.

External inputs are ordinary episodic connections selected by connectivity rule:

• classifier_sample lands on the sample memory
• classifier_class lands on the class memory and creates one class output whose shape matches that class input

The sample memory accepts any number of those inputs, including a mix of memory and interconnect areas. The class memory does the same. Pattern identity is the memory area’s own episodic hash. The classifier does not add a second input rule on top of that.

Structs

ClassPairFiring

One class input/output pair observed on a single burst.

Classifier

First-class classifier record persisted in the genome.

ClassifierClassBinding

One class input and the output area created for it.

ClassifierMapping

Directed mapping owned by a classifier assembly.

ClassifierMappingEffect

Result of recording one mapping edit on a classifier.

Constants

CLASSIFIER_ASSOCIATIVE_MORPHOLOGY

Morphology used for sample-memory → class-memory bind.

CLASSIFIER_CLASS_MORPHOLOGY

Connectivity rule: episodic input into the classifier class memory.

CLASSIFIER_SAMPLE_MORPHOLOGY

Connectivity rule: episodic input into the classifier sample memory.

Functions

class_output_area_name

Visible name of one class output.

class_output_reports_error

True when this class output should raise the classifier error.

classifier_mapping_rule

Mapping rule written for one classifier-owned edge.

classifier_reports_error

True when any class output of this classifier raises the error.

morphology_is_episodic_input

True when a mapping rule is an episodic encode into a memory area.