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dice-group / Ontolearn

Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
https://ontolearn-docs-dice-group.netlify.app/index.html
MIT License
39 stars 9 forks source link

Compare performance to DL Learner #56

Closed heindorf closed 10 months ago

heindorf commented 4 years ago

Create small test cases / micro benchmarks to compare the performance of OntoPy to DL Learner (both in terms of predictive performance and runtime)

Demirrr commented 3 years ago

I have already done this (see experiments.py).

SimonBin commented 3 years ago

very good. I think it could be done more exhaustive ( for example on some of the DL-Learner examples)

Demirrr commented 3 years ago

Sure

LNSieger commented 12 months ago

How is the status with this?

Demirrr commented 12 months ago

Previosuly, I have created a DL-Binder that allows us to use DL-learner within our framework. Finding and integrating this class into https://github.com/dice-group/Ontolearn/blob/master/examples/concept_learning_evaluation.py would be great!

Demirrr commented 10 months ago

With https://github.com/dice-group/Ontolearn/pull/332, we have benchmarking results