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ExplainPrediction
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Download and install ExplainPrediction package within the R console
Install from CRAN:
install.packages("ExplainPrediction")
Install from Github:
library("remotes")
install_github("cran/ExplainPrediction")
Install by package version:
library("remotes")
install_version("ExplainPrediction", "1.3.0")
Attach the package and use:
library("ExplainPrediction")
Maintained by
Marko Robnik-Sikonja
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-07
Latest Update: 2018-01-07
Description:
Generates explanations for classification and regression models and visualizes them.
Explanations are generated for individual predictions as well as for models as a whole. Two explanation methods
are included, EXPLAIN and IME. The EXPLAIN method is fast but might miss explanations expressed redundantly
in the model. The IME method is slower as it samples from all feature subsets.
For the EXPLAIN method see Robnik-Sikonja and Kononenko (2008) ,
and the IME method is described in Strumbelj and Kononenko (2010, JMLR, vol. 11:1-18).
All models in package 'CORElearn' are natively supported, for other prediction models a wrapper function is provided
and illustrated for models from packages 'randomForest', 'nnet', and 'e1071'.
How to cite:
Marko Robnik-Sikonja (2015). ExplainPrediction: Explanation of Predictions for Classification and Regression Models. R package version 1.3.0, https://cran.r-project.org/web/packages/ExplainPrediction
Previous versions and publish date:
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Other R packages that ExplainPrediction depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ExplainPrediction R package
Some associated functions: ExplainPrediction-package . explanation . wrap4Explanation .
Some associated R codes: explain.R . init.R . Full ExplainPrediction package functions and examples
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