set_hparams_rf: Set hyparameters for random forest models
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
View source: R/hyperparameters.R
set_hparams_rf R Documentation
Set hyparameters for random forest models
Description
Set hyparameters for random forest models
Usage
set_hparams_rf(n_features)
Arguments
n_features
number of features in the dataset
Value
named list of hyperparameters
Author(s)
Kelly Sovacool, sovacool@umich.edu
Examples
## Not run:
set_hparams_rf(16)
set_hparams_rf(2000)
set_hparams_rf(1)
## End(Not run)
SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.
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View source: R/hyperparameters.R
| set_hparams_rf | R Documentation |
Set hyparameters for random forest models
Description
Set hyparameters for random forest models
Usage
set_hparams_rf(n_features)
Arguments
n_features |
number of features in the dataset |
Value
named list of hyperparameters
Author(s)
Kelly Sovacool, sovacool@umich.edu
Examples
## Not run:
set_hparams_rf(16)
set_hparams_rf(2000)
set_hparams_rf(1)
## End(Not run)
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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