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.
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, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install sgd
To see what files were installed by sgd, run:
port contents sgd
To later upgrade sgd, run:
sudo port selfupdate && sudo port upgrade sgd
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