| Name : R-gradDescent
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| Version : 3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:09:55
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| Group : Development/Libraries/Other
| Source RPM : R-gradDescent-3.0-lp153.2.13.src.rpm
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| Size : 0.15 MB
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| Packager : (none)
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| Summary : Gradient Descent for Regression Tasks
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Description :
An implementation of various learning algorithms based on Gradient
Descent for dealing with regression tasks. The variants of gradient
descent algorithm are : Mini-Batch Gradient Descent (MBGD), which is an
optimization to use training data partially to reduce the computation
load. Stochastic Gradient Descent (SGD), which is an optimization to
use a random data in learning to reduce the computation load
drastically. Stochastic Average Gradient (SAG), which is a SGD-based
algorithm to minimize stochastic step to average. Momentum Gradient
Descent (MGD), which is an optimization to speed-up gradient descent
learning. Accelerated Gradient Descent (AGD), which is an optimization
to accelerate gradient descent learning. Adagrad, which is a
gradient-descent-based algorithm that accumulate previous cost to do
adaptive learning. Adadelta, which is a gradient-descent-based
algorithm that use hessian approximation to do adaptive learning.
RMSprop, which is a gradient-descent-based algorithm that combine
Adagrad and Adadelta adaptive learning ability. Adam, which is a
gradient-descent-based algorithm that mean and variance moment to do
adaptive learning. Stochastic Variance Reduce Gradient (SVRG), which is
an optimization SGD-based algorithm to accelerates the process toward
converging by reducing the gradient. Semi Stochastic Gradient Descent
(SSGD),which is a SGD-based algorithm that combine GD and SGD to
accelerates the process toward converging by choosing one of the
gradients at a time. Stochastic Recursive Gradient Algorithm (SARAH),
which is an optimization algorithm similarly SVRG to accelerates the
process toward converging by accumulated stochastic information.
Stochastic Recursive Gradient Algorithm+ (SARAHPlus), which is a SARAH
practical variant algorithm to accelerates the process toward
converging provides a possibility of earlier termination.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
