gitlab.unistra.fr / simonbertrand / Clusters-Features
The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes many internal evaluation scores such as Davies-Bouldin Index, Dunn and its Generalized Indexes and more !
étoiles: 0
forks: 0
issues ouvertes:
licence: gpl-3.0+
langage:
dépendances analysées:
9
date de création: il y a environ 4 ans
date de mise à jour: il y a environ un an
enregistré: il y a environ un an
dernière synchronisation: il y a plus d'un an
Sujets: clustering quality, data mining, data science, indexes, indices, unsupervised learning
requirements.txt
pypi
- Pillow *
- numba *
- numpy *
- pandas *
- plotly *
- scikit-learn *
- scipy *
- statsmodels *
- umap-learn >=0.5.1
setup.py
pypi