v 2.1

Stochastic Gradient Descent

The goal of this package is to illustrate the efficiency of stochastic gradient descent for large-scale learning tasks. Two algorithms, Stochastic Gradient Descent (SGD), and Averaged Stochastic Gradient Descent (ASGD), are applied to two well known problems, Linear Support Vector Machines, and Conditional Random Fields.

To install sgd, paste this in macOS terminal after installing MacPorts

sudo port install sgd

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