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0.4-12
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Install
install.packages('RSNNS')
Monthly Downloads
6,793
Version
0.4-12
License
LGPL (>= 2) | file LICENSE
Issues
11
Pull Requests
0
Stars
21
Forks
6
Repository
https://github.com/cbergmeir/RSNNS
Maintainer
Christoph Bergmeir
Last Published
September 17th, 2019
Functions in RSNNS (0.4-12)
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SnnsRObject$createPatSet
Create a pattern set
SnnsRObjectMethodCaller
Method caller for SnnsR objects
SnnsRObject$getCompleteWeightMatrix
Get the complete weight matrix.
elman
Create and train an Elman network
SnnsRObject$getAllUnitsTType
Get all units in the net of a certain
ttype
.
SnnsRObjectFactory
SnnsR object factory
dlvq
Create and train a dlvq network
encodeClassLabels
Encode a matrix of (decoded) class labels
exportToSnnsNetFile
Export the net to a file in the original SNNS file format
SnnsRObject$resetRSNNS
Reset the SnnsR object.
SnnsRObject$setTTypeUnitsActFunc
Set the activation function for all units of a certain ttype.
decodeClassLabels
Decode class labels to a binary matrix
readResFile
Rudimentary parser for res files.
train
Internal generic train function for rsnns objects
print.rsnns
Generic print function for rsnns objects
getSnnsRDefine
Get a define of the SNNS kernel
vectorToActMap
Convert a vector to an activation map
resolveSnnsRDefine
Resolve a define of the SNNS kernel
denormalizeData
Revert data normalization
getSnnsRFunctionTable
Get SnnsR function table
rbf
Create and train a radial basis function (RBF) network
plotRegressionError
Plot a regression error plot
artmap
Create and train an artmap network
SnnsRObject$whereAreResults
Get a list of output units of a net
mlp
Create and train a multi-layer perceptron (MLP)
SnnsRObject$predictCurrPatSet
Predict values with a trained net
art2
Create and train an art2 network
SnnsRObject$initializeNet
Initialize the network
SnnsRObject$train
Train a network and test it in every training iteration
normTrainingAndTestSet
Function to normalize training and test set
matrixToActMapList
Convert matrix of activations to activation map list
normalizeData
Data normalization
SnnsRObject$getTypeDefinitions
Get the FType definitions of the network.
SnnsRObject$somPredictCurrPatSetWinners
Get most of the relevant results from a som
SnnsRObject$somPredictCurrPatSetWinnersSpanTree
Get the spanning tree of the SOM
SnnsRObject$getUnitDefinitions
Get the unit definitions of the network.
confusionMatrix
Computes a confusion matrix
SnnsRObject$getInfoHeader
Get an info header of the network.
assoz
Create and train an (auto-)associative memory
som
Create and train a self-organizing map (SOM)
SnnsRObject$getSiteDefinitions
Get the sites definitions of the network.
predict.rsnns
Generic predict function for rsnns object
SnnsRObject$getUnitsByName
Find all units whose name begins with a given prefix.
SnnsRObject$getWeightMatrix
Get the weight matrix between two sets of units
setSnnsRSeedValue
DEPRECATED, Set the SnnsR seed value
SnnsRObject$setUnitDefaults
Set the unit defaults
SnnsRObject$somPredictComponentMaps
Calculate the som component maps
snnsData
Example data of the package
extractNetInfo
Extract information from a network
art1
Create and train an art1 network
analyzeClassification
Converts continuous outputs to class labels
getNormParameters
Get normalization parameters of the input data
splitForTrainingAndTest
Function to split data into training and test set
inputColumns
Get the columns that are inputs
summary.rsnns
Generic summary function for rsnns objects
savePatFile
Save data to a pat file
rsnnsObjectFactory
Object factory for generating rsnns objects
weightMatrix
Function to extract the weight matrix of an rsnns object
jordan
Create and train a Jordan network
plotActMap
Plot activation map
plotIterativeError
Plot iterative errors of an rsnns object
outputColumns
Get the columns that are targets
plotROC
Plot a ROC curve
rbfDDA
Create and train an RBF network with the DDA algorithm
readPatFile
Load data from a pat file
toNumericClassLabels
Convert a vector (of class labels) to a numeric vector
SnnsRObject$getAllOutputUnits
Get all output units of the net.
SnnsRObject$getAllUnits
Get all units present in the net.
RSNNS-package
Getting started with the RSNNS package
SnnsRObject$getAllInputUnits
Get all input units of the net
SnnsRObject$createNet
Create a layered network
SnnsRObject$getAllHiddenUnits
Get all hidden units of the net
SnnsR-class
The main class of the package
SnnsRObject$extractNetInfo
Get characteristics of the network.
SnnsRObject$extractPatterns
Extract the current pattern set to a matrix