bWoodN1: Dataset bWoodN1
In NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages
Description
References
Examples
Description
A multivariate dataset (x1, x2, x3, x4, x5, x6, y) of class data.frame and dim 20000
x 7 to be fitted by a neural network with 5 hidden neurons (41 parameters).
References
Inspired by page 29 of Wood, S. N. (2011). Fast stable restricted maximum
likelihood and marginal likelihood estimation of semiparametric generalized linear
models. Journal of the Royal Statistical Society: Series B (Statistical Methodology),
73(1), 3-36.
https://people.bath.ac.uk/man54/SAMBa/ITTs/ITT2/EDF/REMLWood2009.pdf
Examples
1
NNbenchmark documentation built on June 5, 2021, 5:06 p.m.
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Description References Examples
Description
A multivariate dataset (x1, x2, x3, x4, x5, x6, y) of class data.frame and dim 20000 x 7 to be fitted by a neural network with 5 hidden neurons (41 parameters).
References
Inspired by page 29 of Wood, S. N. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73(1), 3-36. https://people.bath.ac.uk/man54/SAMBa/ITTs/ITT2/EDF/REMLWood2009.pdf
Examples
1 |
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