User Documentation for Apache MADlib
Supervised Learning

Detailed Description

Methods to perform a variety of supervised learning tasks.


 Conditional Random Field
 Constructs a Conditional Random Fields (CRF) model for labeling sequential data.
 Neural Network
 Solves classification and regression problems with several fully connected layers and non-linear activation functions.
 Regression Models
 A collection of methods for modeling conditional expectation of a response variable.
 Support Vector Machines
 Solves classification and regression problems by separating data with a hyperplane or other nonlinear decision boundary.
 Tree Methods
 A collection of recursive partitioning (tree) methods.