Reasonable Scale Machine Learning with Open-Source Metaflow.
Jacopo TagliabueHugo Bowne-AndersonVille TuulosSavin GoyalRomain CledatDavid BergPublished in: CoRR (2023)
Keyphrases
- open source
- machine learning
- open source software
- decision trees
- machine learning algorithms
- source code
- machine learning methods
- case study
- text mining
- computational intelligence
- learning algorithm
- scale space
- computer vision
- small scale
- knowledge representation
- text classification
- knowledge acquisition
- open source projects
- inductive logic programming
- supervised machine learning
- learning systems
- explanation based learning
- semi supervised learning
- active learning
- data analysis
- feature selection
- unsupervised learning
- transfer learning
- training set
- learning tasks
- learning problems
- image sequences
- search engine
- real world
- neural network