twoinput: 2 Inputs and 1 output.
In brnn: Bayesian Regularization for Feed-Forward Neural Networks
twoinput R Documentation
2 Inputs and 1 output.
Description
The data used in Paciorek and
Schervish (2004). This is a data.frame with 3 columns, columns 1 and 2 corresponds to the
predictors and column 3 corresponds to the target.
References
Paciorek, C. J. and Schervish, M. J. 2004. "Nonstationary Covariance Functions for
Gaussian Process Regression". In Thrun, S., Saul, L., and Scholkopf, B., editors, Advances
in Neural Information Processing Systems 16. MIT Press, Cambridge, MA.
brnn documentation built on Nov. 10, 2023, 9:08 a.m.
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| twoinput | R Documentation |
2 Inputs and 1 output.
Description
The data used in Paciorek and Schervish (2004). This is a data.frame with 3 columns, columns 1 and 2 corresponds to the predictors and column 3 corresponds to the target.
References
Paciorek, C. J. and Schervish, M. J. 2004. "Nonstationary Covariance Functions for Gaussian Process Regression". In Thrun, S., Saul, L., and Scholkopf, B., editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA.
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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