sgdnet-package: Penalized Generalized Linear Models with Stochastic Gradient...
In jolars/sgdnet: Fast Sparse Linear Models for Big Data with SAGA
Description
Penalized Generalized Linear Models with Stochastic Gradient Descent
Package options
Parts of the sgdnet API can be interfaced with via
options as follows:
-
sgdnet.debug: set to TRUE to enable debugging features,
which will be accessible via a 'diagnostics'
attribute to the 'sgdnet' object
that is returned by sgdnet().
jolars/sgdnet documentation built on May 22, 2019, 11:52 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Penalized Generalized Linear Models with Stochastic Gradient Descent
Package options
Parts of the sgdnet API can be interfaced with via
options as follows:
-
sgdnet.debug: set toTRUEto enable debugging features, which will be accessible via a'diagnostics'attribute to the'sgdnet'object that is returned bysgdnet().
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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