`ontolearn.utils.static_funcs`

Module Contents

`init_length_metric`([length_metric, length_metric_factory])	Initialize the technique on computing length of a concept
`init_hierarchy_instances`(...)	Initialize class, object property, and data property hierarchies
`init_named_individuals`(individuals_cache_size)
`init_individuals_from_concepts`([...])
`compute_tp_fn_fp_tn`(individuals, pos, neg)
`compute_f1_score`(→ float)	Compute F1-score of a concept
`plot_umap_reduced_embeddings`(→ None)
`plot_decision_tree_of_expressions`(→ None)	Plot the built CART Decision Tree and feature importance
`save_owl_class_expressions`(→ None)

ontolearn.utils.static_funcs.init_length_metric(length_metric: OWLClassExpressionLengthMetric | None = None, length_metric_factory: Callable[[], OWLClassExpressionLengthMetric] | None = None)[source]: Initialize the technique on computing length of a concept

ontolearn.utils.static_funcs.init_hierarchy_instances(reasoner, class_hierarchy, object_property_hierarchy, data_property_hierarchy) → Tuple[ClassHierarchy, ObjectPropertyHierarchy, DatatypePropertyHierarchy][source]: Initialize class, object property, and data property hierarchies

ontolearn.utils.static_funcs.init_named_individuals(individuals_cache_size)[source]

ontolearn.utils.static_funcs.init_individuals_from_concepts(include_implicit_individuals: bool = None, reasoner=None, ontology=None, individuals_per_concept=None)[source]

ontolearn.utils.static_funcs.compute_tp_fn_fp_tn(individuals, pos, neg)[source]

ontolearn.utils.static_funcs.compute_f1_score(individuals, pos, neg) → float[source]: Compute F1-score of a concept

ontolearn.utils.static_funcs.plot_umap_reduced_embeddings(X: pandas.DataFrame, y: List[float], name: str = 'umap_visualization.pdf') → None[source]

ontolearn.utils.static_funcs.plot_decision_tree_of_expressions(feature_names, cart_tree, topk: int = 10) → None[source]: Plot the built CART Decision Tree and feature importance

ontolearn.utils.static_funcs.save_owl_class_expressions(expressions: owlapy.class_expression.OWLClassExpression | List[owlapy.class_expression.OWLClassExpression], path: str = 'Predictions', rdf_format: str = 'rdfxml') → None[source]