Get the free xplainR package for interpretations and explanations ... - cran r-project
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Package explain October 14, 2022, Type Package Title Providing Interactive Interpretations and Explanations of Statistical Results Version 0.2.2 Maintainer Joachim Zuckarelli joachim@zuckarelli.de
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How to fill out xplainr package for interpretations
How to fill out xplainr package for interpretations
01
Download xplainr package from CRAN or install from GitHub using devtools::install_github('ModelOriented/xplain')
02
Load the xplainr package using library(xplainr)
03
Fit a model using a supported black-box model or a white-box model
04
Create an explainer object for the fitted model using create_explainer() function
05
Use the explain() function to generate local or global model interpretations
Who needs xplainr package for interpretations?
01
Data scientists who want to interpret the predictions of their machine learning models
02
Researchers who need to understand how a model is making predictions
03
Machine learning practitioners who want to explain the decisions of complex models to stakeholders
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What is xplainr package for interpretations?
The xplainr package is a tool used for generating interpretations and explanations of data analysis results.
Who is required to file xplainr package for interpretations?
Researchers, data analysts, and anyone looking to provide clear interpretations of their data analysis may use the xplainr package.
How to fill out xplainr package for interpretations?
To fill out the xplainr package, users can input their data analysis results and specify the type of interpretation they are looking to generate.
What is the purpose of xplainr package for interpretations?
The purpose of the xplainr package is to help users provide clear and easy-to-understand explanations of their data analysis results.
What information must be reported on xplainr package for interpretations?
The xplainr package requires users to input their data analysis results, variables used, statistical measures, and any other relevant information needed for generating interpretations.
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