SmartCore 0.1.0
other version

About us

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

volodymyrorlov

Vlad Orlov

morenol

Luis Moreno

mec-is

Lorenzo Moriondo

rabbitrabid

Vadim Zaliva

Release Notes

Version 0.1.0

This is our first realease, enjoy! In this version you’ll find:

  • KNN + distance metrics (Euclidian, Minkowski, Manhattan, Hamming, Mahalanobis)
  • Linear Regression (OLS)
  • Logistic Regression
  • Random Forest Classifier
  • Decision Tree Classifier
  • PCA
  • K-Means
  • Integrated with ndarray
  • Abstract linear algebra methods
  • RandomForest Regressor
  • Decision Tree Regressor
  • Serde integration
  • Integrated with nalgebra
  • LU, QR, SVD, EVD
  • Evaluation Metrics

Please let us know if you found a problem. The best way to report it is to open an issue on GitHub.