get.split: Find Best split in the data.
In ebridge2/badmf: Bayesian Decision-Making Forests (BaD-MFs)
Description
Usage
Arguments
Value
Author(s)
Description
Find Best split in the data.
Usage
1
get.split(X, Y, d, alpha)
Arguments
X
the predictors.
Y
the responses.
d
the number of features to subsample. Should be an integer 0 < d <= p.
alpha
the sampling distribution for the features. A [p] vector. If NULL, uses a uniform.
Value
the best split.
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
Find Best split in the data.
Usage
1 | get.split(X, Y, d, alpha)
|
Arguments
X |
the predictors. |
Y |
the responses. |
d |
the number of features to subsample. Should be an integer 0 < d <= p. |
alpha |
the sampling distribution for the features. A [p] vector. If |
Value
the best split.
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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