predict_depth_observations.randomForest: predict_depth_observations.randomForest
In talegari/forager: Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data
Description
predict_depth_observations.randomForest
Usage
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## S3 method for class 'randomForest'
predict_depth_observations(object, data,
nproc = 1)
Arguments
object
A tree ensemble model
data
data
nproc
number of cores to use for parallel processing
talegari/forager documentation built on May 3, 2019, 4:01 p.m.
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Description
predict_depth_observations.randomForest
Usage
1 2 3 | ## S3 method for class 'randomForest'
predict_depth_observations(object, data,
nproc = 1)
|
Arguments
object |
A tree ensemble model |
data |
data |
nproc |
number of cores to use for parallel processing |
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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