rf.input.validator: Input Validator
In ebridge2/badmf: Bayesian Decision-Making Forests (BaD-MFs)
Description
Usage
Arguments
Value
Author(s)
Description
Input Validator
Usage
1
rf.input.validator(d, p, ntrees, bagg, depth.max, depth, size)
Arguments
d
the number of features to subsample at each node. Defaults to sqrt(p).
p
the number of features total.
ntrees
the number of trees to construct. Defaults to 10.
bagg
the relative size of the subsamples for the training set. Defaults to 0.632. A numeric s.t.
0 < bagg <= 1. Each subsample will be bagg*n elements.
depth.max
the maximum allowed tree depth.
size
the minimum allowed number of samples for an individual node.
Value
nothing; throws an error if the input is invalid.
Author(s)
Eric Bridgeford
ebridge2/badmf documentation built on June 4, 2019, 8:53 a.m.
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Description Usage Arguments Value Author(s)
Description
Input Validator
Usage
1 | rf.input.validator(d, p, ntrees, bagg, depth.max, depth, size)
|
Arguments
d |
the number of features to subsample at each node. Defaults to |
p |
the number of features total. |
ntrees |
the number of trees to construct. Defaults to |
bagg |
the relative size of the subsamples for the training set. Defaults to |
depth.max |
the maximum allowed tree depth. |
size |
the minimum allowed number of samples for an individual node. |
Value
nothing; throws an error if the input is invalid.
Author(s)
Eric Bridgeford
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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