mIshigami: Dataset mIshigami
In pkR-pkR/NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages
mIshigami R Documentation
Dataset mIshigami
Description
A multivariate dataset (x1, x2, x3, y) of class matrix and dim 500 x 4 to be fitted
by a neural network with 10 hidden neurons (51 parameters).
References
Ishigami, T., & Homma, T. (1990, December). An importance quantification technique in
uncertainty analysis for computer models. In Uncertainty Modeling and Analysis, 1990.
Proceedings., First International Symposium on (pp. 398-403). IEEE.
See also https://www.sfu.ca/~ssurjano/ishigami.html
Examples
ht(mIshigami)
pairs(mIshigami)
pkR-pkR/NNbenchmark documentation built on Dec. 3, 2023, 12:43 a.m.
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| mIshigami | R Documentation |
Dataset mIshigami
Description
A multivariate dataset (x1, x2, x3, y) of class matrix and dim 500 x 4 to be fitted by a neural network with 10 hidden neurons (51 parameters).
References
Ishigami, T., & Homma, T. (1990, December). An importance quantification technique in uncertainty analysis for computer models. In Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on (pp. 398-403). IEEE.
See also https://www.sfu.ca/~ssurjano/ishigami.html
Examples
ht(mIshigami)
pairs(mIshigami)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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