get_tuning_grid: Generate the tuning grid for tuning hyperparameters
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
View source: R/hyperparameters.R
get_tuning_grid R Documentation
Generate the tuning grid for tuning hyperparameters
Description
Generate the tuning grid for tuning hyperparameters
Usage
get_tuning_grid(hyperparams_list, method)
Arguments
hyperparams_list
Named list of lists of hyperparameters.
method
ML method.
Options: c("glmnet", "rf", "rpart2", "svmRadial", "xgbTree").
glmnet: linear, logistic, or multiclass regression
rf: random forest
rpart2: decision tree
svmRadial: support vector machine
xgbTree: xgboost
Value
The tuning grid.
Author(s)
Begüm Topçuoğlu, topcuoglu.begum@gmail.com
Kelly Sovacool, sovacool@umich.edu
Examples
ml_method <- "glmnet"
hparams_list <- get_hyperparams_list(otu_small, ml_method)
get_tuning_grid(hparams_list, ml_method)
SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.
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View source: R/hyperparameters.R
| get_tuning_grid | R Documentation |
Generate the tuning grid for tuning hyperparameters
Description
Generate the tuning grid for tuning hyperparameters
Usage
get_tuning_grid(hyperparams_list, method)
Arguments
hyperparams_list |
Named list of lists of hyperparameters. |
method |
ML method.
Options:
|
Value
The tuning grid.
Author(s)
Begüm Topçuoğlu, topcuoglu.begum@gmail.com
Kelly Sovacool, sovacool@umich.edu
Examples
ml_method <- "glmnet"
hparams_list <- get_hyperparams_list(otu_small, ml_method)
get_tuning_grid(hparams_list, ml_method)
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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