4.1.1. Pipeline: chaining estimators

The classes in the

When performing classification you often want not only to predict the class label, but also obtain a probability of the respective label. This probability gives you

This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications may

sklearn.neighbors

For some applications the amount of examples, features (or both) and/or the speed at which they need to be processed are challenging for traditional

Support vector machines (SVMs) are a set of supervised learning methods used for

Gaussian Processes (GP) are a generic supervised learning method designed to solve regression and probabilistic classification problems

The following are a set of methods intended for regression in which the target value is expected to be a linear combination of the input variables. In mathematical

Semi-supervised learning is a situation in which