I'm still forming my understanding of the project, trying to run the modelling_and_usage notebook. The
evaluated_individuals.tems() [python 3.x] do not seem to have steps, auc attributes - rather the following attributes: generation, mutation_count, crossover_count, predecessor, operator_count, internal_cv_score
Is it intended eventually to display the internal_cv_score box plot? or does the original function (with steps, auc) display a different values. If so - how/where to get them.
I'm still forming my understanding of the project, trying to run the
modelling_and_usagenotebook. Theevaluated_individuals.tems()[python 3.x] do not seem to have steps, auc attributes - rather the following attributes: generation, mutation_count, crossover_count, predecessor, operator_count, internal_cv_scoreIs it intended eventually to display the internal_cv_score box plot? or does the original function (with steps, auc) display a different values. If so - how/where to get them.