DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets.
Claas VölckerAlejandro MolinaJohannes NeumannDirk WestermannKristian KerstingPublished in: PKDD/ECML Workshops (1) (2019)
Keyphrases
- probabilistic model
- graphical models
- bayesian inference
- open source
- conditional random fields
- data sets
- benchmark datasets
- language model
- neural network
- database
- programming language
- database systems
- information retrieval
- open source software
- probability distribution
- end users
- business intelligence
- latent variables
- synthetic and real datasets
- uci machine learning repository