Module connectome.visualization

functionalities to visualize the predictions or important features for the different models

Sub-modules

connectome.visualization.fi_rf_gb

functions to compute / obtain the basic feature importances and permutation feature importances from gradient boosting and random forest models

connectome.visualization.group_imp

functions to calculate the group feature importance

connectome.visualization.lgb_shapley

this module contains a wrapper to compute and visualize the SHAP values for the given model at hand - implemented for gradient boosting models …

connectome.visualization.viz_framework

framework function for the vizualisation of predictions or important features

connectome.visualization.viz_nn

visualization helpers and functions for convolutional neural networks

connectome.visualization.viz_utils

helper functions for the visualization of results