mFriedman: Dataset mFriedman
In NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages
Description
References
Examples
Description
A multivariate dataset (x1, x2, x3, x4, x5, y) of class matrix and dim 500 x 6 to be
fitted by a neural network with 5 hidden neurons (36 parameters).
References
Friedman, J. H., Grosse, E., & Stuetzle, W. (1983). Multidimensional additive spline
approximation. SIAM Journal on Scientific and Statistical Computing, 4(2), 291-301.
See also https://www.sfu.ca/~ssurjano/fried.html
Examples
1
2
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, y) of class matrix and dim 500 x 6 to be fitted by a neural network with 5 hidden neurons (36 parameters).
References
Friedman, J. H., Grosse, E., & Stuetzle, W. (1983). Multidimensional additive spline approximation. SIAM Journal on Scientific and Statistical Computing, 4(2), 291-301.
See also https://www.sfu.ca/~ssurjano/fried.html
Examples
1 2 |
R Package Documentation
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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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