get_feature_importances: Get Feature Importances

In GeneSelectR: 'GeneSelectR' - Comprehensive Feature Selection Workflow for Bulk RNAseq Datasets

Get Feature Importances

Description

This function extracts feature importances from a Scikit-learn pipeline that has a Gradient Boosting Classifier as the final step.

Usage

get_feature_importances(pipeline, X_train, pipeline_name, iter)

Arguments

pipeline	A Scikit-learn pipeline object with a Gradient Boosting Classifier as the final step.
X_train	A DataFrame containing the training data.
pipeline_name	Strings (names of the selected_pipelines list) representing pipeline names that were constructed for the feature selection
iter	An integer that is indicating current iteration of the train-test split

Value

A dataframe containing the selected feature names and their importances, ranked by importance, or NULL if the classifier does not have the appropriate attributes or the feature selector does not have the 'get_support' or 'support_' method. Each row represents a feature, with columns for feature names, importances, and ranks.

GeneSelectR documentation built on May 29, 2024, 4:01 a.m.