{"name":"sgd","portdir":"math/sgd","version":"2.1","license":"LGPL-3","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://leon.bottou.org/projects/sgd","description":"Stochastic Gradient Descent","long_description":"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.","active":true,"categories":["textproc","math"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-9.0"]},{"type":"lib","ports":["zlib"]}],"depends_on":[]}