shrink_randomforest: Shrink the size of a 'randomForest' model object by removing...
In jinshijian/UrbanKfs: UrbanKFS modeling project
Description
Usage
Arguments
Value
Description
The large pieces are proximity and terms. The predict method
for randomForest objects should be robust to these being NULL.
Usage
1
shrink_randomforest(object)
Arguments
object
Fitted randomForest::randomForest() model
Value
randomForest object with excess data removed
jinshijian/UrbanKfs documentation built on Jan. 9, 2021, 9:54 a.m.
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Description Usage Arguments Value
Description
The large pieces are proximity and terms. The predict method
for randomForest objects should be robust to these being NULL.
Usage
1 | shrink_randomforest(object)
|
Arguments
object |
Fitted |
Value
randomForest object with excess data removed
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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