Correlation of features based on the Pearson product-moment correlation. Since instance features are used to train an empirical performance model in model-based configurators, it can be important to remove correlated features in a pre-processing step depending on the machine-learning algorithm. Darker fields corresponds to a larger correlation between the features.
runscontainer: RunsContainer contains all important information about the configurator runs
feat_analysis(output_dir, scenario, feat_names, feat_importance)¶
get_html(d=None, tooltip=None) → Tuple[str, str]¶
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.