scikit-learn: machine learning in Python — scikit-learn 1.7.0 …
scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7
Getting Started — scikit-learn 1.7.0 documentation
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, …
User Guide — scikit-learn 1.7.0 documentation
Jan 1, 2010 · Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle …
API Reference — scikit-learn 1.7.0 documentation
This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the raw specifications of classes and functions may not be enough to give full …
Installing scikit-learn — scikit-learn 1.7.0 documentation
Install the version of scikit-learn provided by your operating system or Python distribution. This is a quick option for those who have operating systems or Python distributions that distribute …
1. Supervised learning — scikit-learn 1.7.0 documentation
Jan 1, 2010 · Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, …
1.17. Neural network models (supervised) - scikit-learn
In particular, scikit-learn offers no GPU support. For much faster, GPU-based implementations, as well as frameworks offering much more flexibility to build deep learning architectures, see …
Examples — scikit-learn 1.7.0 documentation
This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the API in general and some demonstrate specific applications in …
About us — scikit-learn 1.7.0 documentation
Scikit-learn is a community project, developed by a large group of people, all across the world. A few core contributor teams, listed below, have central roles, however a more complete list of …
1.1. Linear Models — scikit-learn 1.7.0 documentation
Scikit-learn provides 3 robust regression estimators: RANSAC, Theil Sen and HuberRegressor. HuberRegressor should be faster than RANSAC and Theil Sen unless the number of samples …