set_parallel: Set parallel.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
This helper function decides whether the analysis should be run in parallel based on the number of cores specified.
Usage
1
set_parallel(n_core)
Arguments
n_core
An integer vector of length one; specifies the number of cores to use for this analysis. Currently only works on Mac OSx and Unix/Linux systems. Defaults to 1L.
Value
A logical vector of length one; whether analysis should be run in parallel or not.
See Also
Other setters: set_categorical_variables,
set_column_names, set_cores,
set_dependent_variable,
set_independent_variables,
set_looper_, set_looper,
set_measure,
set_plot_model_performance,
set_plot_predictions,
set_preprocess,
set_random_state,
set_resample
easyml documentation built on June 26, 2017, 9:02 a.m.
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.
Description Usage Arguments Value See Also
Description
This helper function decides whether the analysis should be run in parallel based on the number of cores specified.
Usage
1 | set_parallel(n_core)
|
Arguments
n_core |
An integer vector of length one; specifies the number of cores to use for this analysis. Currently only works on Mac OSx and Unix/Linux systems. Defaults to 1L. |
Value
A logical vector of length one; whether analysis should be run in parallel or not.
See Also
Other setters: set_categorical_variables,
set_column_names, set_cores,
set_dependent_variable,
set_independent_variables,
set_looper_, set_looper,
set_measure,
set_plot_model_performance,
set_plot_predictions,
set_preprocess,
set_random_state,
set_resample
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.