reduce_cores: Reduce number of cores.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
This function takes the number of cores specified by the user and
reduces it to the maximum number of cores supported by the computer.
Usage
1
reduce_cores(n_core, cpu_count = NULL)
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.
cpu_count
An integer vector of length one; specifies the number of cores potentially available to use for this analysis. Currently only works on Mac OSx and Unix/Linux systems. Defaults to 1L.
Value
An integer vector of length one; specifies the number of cores to use for this analysis.
See Also
Other utils: correlation_test,
process_coefficients,
process_variable_importances,
remove_variables
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value See Also
Description
This function takes the number of cores specified by the user and reduces it to the maximum number of cores supported by the computer.
Usage
1 | reduce_cores(n_core, cpu_count = NULL)
|
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. |
cpu_count |
An integer vector of length one; specifies the number of cores potentially available to use for this analysis. Currently only works on Mac OSx and Unix/Linux systems. Defaults to 1L. |
Value
An integer vector of length one; specifies the number of cores to use for this analysis.
See Also
Other utils: correlation_test,
process_coefficients,
process_variable_importances,
remove_variables
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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