cocopp.ppfigparam module documentation

Part of cocopp

Generate aRT vs param. figures.

The figures will show the performance in terms of aRT on a log scale w.r.t. parameter. On the y-axis, data is represented as a number of function evaluations. Crosses (+) give the median number of function evaluations for the smallest reached target function value (also divided by dimension). Crosses (×) give the average number of overall conducted function evaluations in case the smallest target function value (1e-8) was not reached.

Function read_fun_infos Undocumented
Function beautify Customize figure presentation.
Function plot Generate plot of aRT vs param.
Function main Generates figure of aRT vs. param.
def read_fun_infos():
Undocumented
def beautify():
Customize figure presentation.
def plot(dsList, param='dim', targets=(10.0, 1.0, 0.1, 0.01, 0.001, 1e-05, 1e-08)):
Generate plot of aRT vs param.
def main(dsList, _targets=(10.0, 1.0, 0.1, 0.01, 0.001, 1e-05, 1e-08), param=('dim', 'Dimension'), is_normalized=True, outputdir='.'):

Generates figure of aRT vs. param.

This script will generate as many figures as there are functions. For a given function and a given parameter value there should be only one data set. Crosses (+) give the median number of function evaluations of successful trials for the smallest reached target function value. Crosses (x) give the average number of overall conducted function evaluations in case the smallest target function value (1e-8) was not reached.

ParametersDataSetList dsListdata sets
seq _targetstarget precisions
tuple paramparameter on x-axis. The first element has to be a string corresponding to the name of an attribute common to elements of dsList. The second element has to be a string which will be used as label for the figures. The values of attribute param have to be sortable.
bool is_normalizedif True the y values are normalized by x values
string outputdirname of output directory for the image files
API Documentation for cocopp, generated by pydoctor at 2020-01-21 16:27:37.