Man pages for NNbenchmark
Datasets and Functions to Benchmark Neural Network Packages

add2csvCreate or Append a data.frame to a csv File
bWoodN1Dataset bWoodN1
ccConcatenates List and Vectors into a List
clearNNDetach the Loaded Packages and the ZZ object
createTimerCreate a timer object. Get the data frame of a timer object
funRMSECalculate the RMSE, MSE, MAE, and WAE Rounded to 4 digits
htConcatenates head() and tail() in vector, list, matrix,...
mDetteDataset mDette
mFriedmanDataset mFriedman
mIshigamiDataset mIshigami
mRef153Dataset mRef153
NNbenchmark-packagePackage NNbenchmark
NNbigdatasetsBig Datasets in One list (2020)
NNdatasetsAll Datasets in One List
NNdataSummaryA Summary (in data.frame format) of NNdatasets
NNsummarySummarize Calculations of RMSE, MSE, MAE, and WAE
NNtrainPredictGeneric Functions for Training and Predicting
plotNNCreate a Plot, Add Lines or Points Depending The Context
prepareZZPrepare a Dataset For All Possible Formats
timeRA R6 Class to represent a timer.
timestartCollect the difftime between two events
uDmod1Dataset uDmod1
uDmod2Dataset uDmod2
uDreyfus1Dataset uDreyfus1
uDreyfus2Dataset uDreyfus2
uGauss1Dataset uGauss1
uGauss2Dataset uGauss2
uGauss3Dataset uGauss3
uNeuroOneDataset uNeuroOne
NNbenchmark documentation built on June 5, 2021, 5:06 p.m.