explain_classifier: Explain the Enhancer classifier

In LucaGiudice/Esearch3D: Leveraging gene expression and chromatin architecture to predict intergenic enhancers

Description

This function offers an explanation about how the classifier predicts the class of a node/fragment and shows how each node's feature is contribuing in the classification.

Usage

explain_classifier(res_ml, n_cores = 2)

Arguments

res_ml	Output list produced and obtained by running the function: enhancer_classifier
n_cores	Define number of cores to use in order to parallelize the tune, train and test tasks

Value

List of 8 elements: task_dalex, lrn_dalex, ranger_exp, fi_ranger, fi_ranger_df, bd_ranger_enh, bd_ranger_no, best_lrn, pr_ranger task_dalex is the dalex object containing the task of classification lrn_dalex is the dalex object containing the learner fi_ranger is the dalex object containing the trained and tested classifier fi_ranger_df is the dataframe indicating how much each node's feature contributed in the classification bd_ranger_enh is the dalex object containing the classification of an enhancer bd_ranger_no is the dalex object containing the classification of a non enhancer

LucaGiudice/Esearch3D documentation built on Dec. 17, 2021, 1:12 a.m.