SmartCore is developed and maintained by Smartcore developers. Our goal is to build an open library that has accurate, numerically stable, and well-documented implementations of the most well-known and widely used machine learning algorithms.
Contributors
Vlad Orlov
Luis Moreno
Lorenzo Moriondo
Vadim Zaliva
Release Notes
Version 0.2.0
DBSCAN
Epsilon-SVR, SVC
Ridge, Lasso, ElasticNet
Bernoulli, Gaussian, Categorical and Multinomial Naive Bayes
K-fold Cross Validation
Singular value decomposition
New api module
Integration with Clippy
smartcore::error:FailedError is now non-exhaustive
ndarray upgraded to 0.14
Cholesky decomposition
API changed in: K-Means, PCA, Random Forest, Linear and Logistic Regression, KNN, Decision Tree
Version 0.1.0
This is our first realease, enjoy! In this version you’ll find: