softmaxreg: Training Multi-Layer Neural Network for Softmax Regression and Classification
Version 1.2

Implementation of 'softmax' regression and classification models with multiple layer neural network. It can be used for many tasks like word embedding based document classification, 'MNIST' dataset handwritten digit recognition and so on. Multiple optimization algorithm including 'SGD', 'Adagrad', 'RMSprop', 'Moment', 'NAG', etc are also provided.

Browse man pages Browse package API and functions Browse package files

AuthorXichen Ding <rockingdingo@gmail.com>
Date of publication2016-09-09 05:30:53
MaintainerXichen Ding <rockingdingo@gmail.com>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("softmaxreg", repos="http://R-Forge.R-project.org")

Man pages

AIC.softmax: Calculate AIC of Fitted Softmax Regression Model
BIC.softmax: Calculate BIC of Fitted Softmax Regression Model
convertClass2Matrix: Convert A Vector of Factors to Matrix
document: Easy Implementation to Read Multiple Documents within the...
loadURLData: Download and Unzip Web Datasets
softmax-class: Class '"softmax"'
softmaxReg: Fit Multi-Layer Softmax Regression or Classification Model
softmaxreg-internal: Internal Softmaxreg Functions
trainModel: Train softmax regression and classification model
word2vec: Pre-trained Word2vec Dataset from Corpus
wordEmbed: Embed Words to Vectors Using Pre-trained Word2vec Dictionary

Functions

$,softmax-method Man page
AIC Man page
AIC.softmax Man page Source code
BIC Man page
BIC.softmax Man page Source code
MSELoss Man page Source code
ReLuDeri Man page Source code
ReLuFunc Man page Source code
activate Man page Source code
activateDeri Man page Source code
addL2GradPenalty Man page Source code
addL2LossPenalty Man page Source code
addList Man page Source code
calcGrad Man page Source code
calcInfoCriteria Man page Source code
calcLoss Man page Source code
checkGradMode Man page Source code
convertClass2Matrix Man page Source code
convertList2Matrix Man page Source code
copyShape Man page Source code
divideList Man page Source code
divideListByList Man page Source code
dividePara Man page Source code
document Man page Source code
forwardProp Man page Source code
forwardPropParallel Man page Source code
getLogValue Man page Source code
getRandomBatch Man page Source code
gradientDescent Man page Source code
initPara Man page Source code
isInteger Man page Source code
loadURLData Man page Source code
load_image_file Man page Source code
load_label_file Man page Source code
multiplyList Man page Source code
multiplyListByList Man page Source code
predict.softmax Man page Source code
rootList Man page Source code
show_digit Man page Source code
sigmoid Man page Source code
sigmoidDeri Man page Source code
softmax Man page
softmax-class Man page
softmaxFunc Man page Source code
softmaxLoss Man page Source code
softmaxProp Man page Source code
softmaxReg Man page Source code
softmaxReg.default Man page Source code
softmaxReg.formula Man page Source code
squareList Man page Source code
subtractList Man page Source code
summary.softmax Man page Source code
tanhDeri Man page Source code
tanhFunc Man page Source code
trainModel Man page Source code
updatePara Man page Source code
word2vec Man page
wordEmbed Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/activateFuncUtil.R
R/application.R
R/loadMNIST.R
R/methodS3.R
R/softmaxReg.R
data
data/word2vec.rda
man
man/AIC.softmax.Rd
man/BIC.softmax.Rd
man/convertClass2Matrix.Rd
man/document.Rd
man/loadURLData.Rd
man/softmax-class.Rd
man/softmaxReg.Rd
man/softmaxreg-internal.Rd
man/trainModel.Rd
man/word2vec.Rd
man/wordEmbed.Rd
tests
tests/test1.R
tests/test2.R
softmaxreg documentation built on May 21, 2017, 1:19 a.m.