select_hyper.cla_tune: selection of hyperparameters
In daltoolbox: Leveraging Experiment Lines to Data Analytics
select_hyper.cla_tune R Documentation
selection of hyperparameters
Description
Selects the optimal hyperparameter by maximizing the average classification metric. It wraps dplyr library.
Usage
## S3 method for class 'cla_tune'
select_hyper(obj, hyperparameters)
Arguments
obj
an object representing the model or tuning process
hyperparameters
a dataframe with columns key (hyperparameter configuration) and metric (classification metric)
Value
returns a optimized key number of hyperparameters
daltoolbox documentation built on Nov. 3, 2024, 9:06 a.m.
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| select_hyper.cla_tune | R Documentation |
selection of hyperparameters
Description
Selects the optimal hyperparameter by maximizing the average classification metric. It wraps dplyr library.
Usage
## S3 method for class 'cla_tune'
select_hyper(obj, hyperparameters)
Arguments
obj |
an object representing the model or tuning process |
hyperparameters |
a dataframe with columns |
Value
returns a optimized key number of hyperparameters
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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