geomstats: a Python Package for Riemannian Geometry in Machine Learning.
Nina MiolaneJohan MatheClaire DonnatMikael JordaXavier PennecPublished in: CoRR (2018)
Keyphrases
- machine learning
- information geometry
- geodesic distance
- open source
- machine learning methods
- artificial intelligence
- decision trees
- euclidean space
- machine learning algorithms
- learning algorithm
- programming language
- graphical user interface
- riemannian manifolds
- software package
- affine invariant
- data mining
- explanation based learning
- learning tasks
- knowledge acquisition
- object oriented
- support vector machine
- three dimensional
- knowledge representation
- multiscale
- pattern recognition
- computer science
- computer vision
- supervised learning
- development tools
- feature selection
- reinforcement learning
- active learning
- information theory
- manifold learning
- kernel methods
- information extraction
- statistical analysis
- d objects