partitions: Partitions for cross validation (CV)
In brnn: Bayesian Regularization for Feed-Forward Neural Networks
partitions R Documentation
Partitions for cross validation (CV)
Description
Is a vector (297 \times 1) that assigns observations to 10
disjoint sets; the assignment was generated at random.
This is used later to conduct a 10-fold CV.
Source
University of Wisconsin at Madison, USA.
brnn documentation built on Nov. 10, 2023, 9:08 a.m.
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| partitions | R Documentation |
Partitions for cross validation (CV)
Description
Is a vector (297 \times 1) that assigns observations to 10
disjoint sets; the assignment was generated at random.
This is used later to conduct a 10-fold CV.
Source
University of Wisconsin at Madison, USA.
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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