`ontolearn.learning_problem`

Learning problem in Ontolearn.

Module Contents

Classes

`EncodedPosNegLPStandard`	Encoded learning problem standard.
`PosNegLPStandard`	Positive-Negative learning problem standard.
`EncodedPosNegUndLP`	To be implemented.
`PosNegUndLP`	To be implemented.

Attributes

logger

ontolearn.learning_problem.logger

class ontolearn.learning_problem.EncodedPosNegLPStandard(kb_pos, kb_neg, kb_diff, kb_all)[source]

Bases: ontolearn.abstracts.EncodedPosNegLPStandardKind

Encoded learning problem standard.

kb_pos

Positive examples.

Type:: set

kb_neg

Negative examples.

Type:: set

kb_diff

kb_all - (kb_pos + kb_neg).

Type:: set

kb_all

All examples/ all individuals set.

Type:: set

__slots__ = ('kb_pos', 'kb_neg', 'kb_diff', 'kb_all')

kb_pos: set

kb_neg: set

kb_diff: set

kb_all: set

class ontolearn.learning_problem.PosNegLPStandard(pos: Set[owlapy.owl_individual.OWLNamedIndividual], neg: Set[owlapy.owl_individual.OWLNamedIndividual], all_instances: Set[owlapy.owl_individual.OWLNamedIndividual] | None = None)[source]

Bases: ontolearn.abstracts.AbstractLearningProblem

Positive-Negative learning problem standard. .. attribute:: pos

Positive examples.

neg: Negative examples.

all: All examples.

__slots__ = ('pos', 'neg', 'all')

encode_kb(knowledge_base: KnowledgeBase) → EncodedPosNegLPStandard[source]: Encode the learning problem into the knowledge base.

class ontolearn.learning_problem.EncodedPosNegUndLP[source]

Bases: ontolearn.abstracts.EncodedLearningProblem

To be implemented.

class ontolearn.learning_problem.PosNegUndLP(*args, **kwargs)[source]