set_cores: Set cores.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
Please note this affects global state and sets the number of cores by running options(mc.cores = n_core).
Usage
1
set_cores(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
NULL.
See Also
Other setters: set_categorical_variables,
set_column_names,
set_dependent_variable,
set_independent_variables,
set_looper_, set_looper,
set_measure, set_parallel,
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.
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Description Usage Arguments Value See Also
Description
Please note this affects global state and sets the number of cores by running options(mc.cores = n_core).
Usage
1 | set_cores(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
NULL.
See Also
Other setters: set_categorical_variables,
set_column_names,
set_dependent_variable,
set_independent_variables,
set_looper_, set_looper,
set_measure, set_parallel,
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.
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