PyStruct 0.2

Andreas Mueller — Wed, 09 Jul 2014 09:29:23 -0000

PyStruct implements learning for structured prediction. In particular it contains implementations of Structural SVMs (1-slack and n-slack formulations), Subgradient optimization for structural SVMs, Structured Preceptron, Latent Variable Structural SVMs

It also contains popular models to which these algorithms can be applied, for example: Multi-class SVMs (Crammer-Singer SVMs), Pairwise CRFs with shared pairwise weights, Pairwise CRFs with edge-features, Several latent variable models,

Interfaces for several inference algorithms and libraries are available, in particular OpenGM, LibDAI, AD^3, QPBO, GCO

PyStruct builds uppon cvxopt to solve the QPs in the cutting plane formulations of Structural Support Vector Machines.

mloss.org PyStruct

PyStruct 0.2