build_topic_explainer: build_topic_explainer

In rosepeglershare/TagR: SHARE's TagR package that uses machine learning to identify a comment's relevant topics

Description

For the chosen topic, this function creates an explainer that helps the user to better understand how the xgboost model creates predictions. The explainer is to be created before using the explain_comment function.

Usage

build_topic_explainer(full_labelled_dtm, full_labels, topic, model)

Arguments

full_labelled_dtm	Full labelled document-term matrix.
full_labels	Labelled matrix for labelled_dtm.
topic	The topic to explain.
model	Xgboost model

Value

The trained xgboost model and explainer for the chosen topic

rosepeglershare/TagR documentation built on Dec. 31, 2020, 3:12 a.m.