AlgorithmFootprint(runscontainer, density=200, purity=0.95)¶
The instance features are projected into a two/three dimensional space using principal component analysis (PCA) and the footprint of each algorithm is plotted, i.e., on which instances the default or the optimized configuration performs well. In contrast to the other analysis methods in this section, these plots allow insights into which of the two configurations performs well on specific types or clusters of instances. Inspired by Smith-Miles.
runscontainer (RunsContainer) – contains all important information about the configurator runs
General reports in html-format, to be easily integrated in html-code. ALSO FOR BOKEH-OUTPUT.
d (Dictionary) – a dictionary that will be later turned into a website
script, div – header and body part of html-code
- Return type
Depending on analysis, this creates jupyter-notebook compatible output.
This function needs to be called if bokeh-plots are to be displayed in notebook AND saved to webpage.