ontolearn
Structured Machine learning modules for Python.
Ontolearn is an open-source software library for structured machine learning in Python. The goal of ontolearn is to provide efficient solutions for concept learning on RDF knowledge bases.
- Author:
The Ontolearn team <onto-learn@lists.uni-paderborn.de>
Subpackages
Submodules
ontolearn.abstractsontolearn.base_concept_learnerontolearn.base_ncesontolearn.bindersontolearn.clip_architecturesontolearn.clip_trainerontolearn.concept_generatorontolearn.concept_learnerontolearn.data_structontolearn.ea_algorithmsontolearn.ea_initializationontolearn.ea_utilsontolearn.experimentsontolearn.fitness_functionsontolearn.heuristicsontolearn.knowledge_baseontolearn.learning_problemontolearn.learning_problem_generatorontolearn.metricsontolearn.model_adapterontolearn.nces_architecturesontolearn.nces_modulesontolearn.nces_trainerontolearn.nces_utilsontolearn.quality_funcsontolearn.refinement_operatorsontolearn.searchontolearn.tentrisontolearn.triple_storeontolearn.value_splitterontolearn.verbalizer
Package Contents
- ontolearn.__version__ = '0.6.2'
Importing decision required rethinking # from .knowledge_base import KnowledgeBase # from .abstracts import BaseRefinement, AbstractDrill # from .base_concept_learner import BaseConceptLearner # from .metrics import * # from .search import * __all__ = [‘knowledge_base’, ‘abstracts’, ‘base_concept_learner’, ‘metrics’, ‘search’]
- Type:
# TODO