par_discretenum

Parameter with uniform distribution for hyperparameter optimization

Quickly run experiments to compare the run time and output of
code blocks. The function mbc() can make fast comparisons of code,
and will calculate statistics comparing the resulting outputs.
It can be used to compare model fits to the same data or
see which function runs faster.
The R6 class ffexp$new() runs a function using all possible combinations
of selected inputs. This is useful for comparing the effect of
different parameter values. It can also run in parallel and
automatically save intermediate results, which is very useful
for long computations.

Collin Erickson

comparer

Compare Output and Run Time

par_discretenum function

<dl><dt>name</dt>
<dd>Name of the parameter, must match the input to `eval_func`.</dd>
<dt>values</dt>
<dd>Values, discrete numeric</dd></dl>

Arguments

Parameter with uniform distribution for hyperparameter optimization — par_discretenum

<dl>

<dt>name</dt>
<dd>Name of the parameter, must match the input to `eval_func`.</dd>


<dt>values</dt>
<dd>Values, discrete numeric</dd>

</dl>

par_discretenum: Parameter with uniform distribution for hyperparameter optimization

Description

Usage

Arguments

Examples