| NNdatasets {NNbenchmark} | R Documentation |
All Datasets in One List
Description
NNdatasets is a list with the 12 datasets presented in this package and the
recommended number of hidden neurons for each neural network model.
mDette: 5 neurons.
mFriedman: 5 neurons.
mIshigami: 10 neurons.
mRef153: 3 neurons.
uDmod1: 6 neurons.
uDmod2: 5 neurons.
uDreyfus1: 3 neurons.
uDreyfus2: 3 neurons.
uGauss1: 5 neurons.
uGauss2: 4 neurons.
uGauss3: 4 neurons.
uNeuroOne: 2 neurons.
Each item of the list is itself a list with 5 components:
ds: character. The name of the dataset.
neur: integer. The recommanded number of hidden neurons in the NN model and in
fmlaNN.nparNN: integer. The number of parameters in
fmlaNN.fmlaNN: the formula of the corresponding neural network, with tanh() as the activation function in the hidden layer.
Z: matrix or data.frame. The dataset itself.
Using attach() and detach() gives a direct access to these items.
Examples
ht(NNdatasets, n = 2, l = 6)
NNdataSummary(NNdatasets)