scikit-learn: machine learning in Python — scikit-learn 1.7.2 …
scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7
User Guide — scikit-learn 1.7.2 documentation
Jan 1, 2010 · 9. Computing with scikit-learn 9.1. Strategies to scale computationally: bigger data 9.1.1. Scaling with instances using out-of-core learning 9.2. Computational Performance 9.2.1. …
Getting Started — scikit-learn 1.7.2 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, …
Installing scikit-learn — scikit-learn 1.7.2 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 …
API Reference — scikit-learn 1.7.2 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 …
Examples — scikit-learn 1.7.2 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 …
1. Supervised learning — scikit-learn 1.7.2 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 …
sklearn — scikit-learn 1.7.2 documentation
Configure global settings and get information about the working environment.
About us — scikit-learn 1.7.2 documentation
The scikit-learn project has a long history of open source coding sprints with over 50 sprint events from 2010 to present day. There are scores of sponsors who contributed to costs which …