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DALEXtra (version 0.1.8)

Extension for 'DALEX' Package

Description

Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries.

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Version

Install

install.packages('DALEXtra')

Monthly Downloads

4,740

Version

0.1.8

License

GPL

Issues

2

Pull Requests

1

Stars

67

Forks

10

Maintainer

Szymon Maksymiuk

Last Published

September 23rd, 2019

Functions in DALEXtra (0.1.8)

explain_mlr

Create explainer from your mlr model
explain_h2o

Create explainer from your h2o model
funnel_measure

Caluculate difference in performance in models across different categories
overall_comparison

Compare champion with challengers globally
create_env

Create your conda virtual env with DALEX
print.scikitlearn_set

Prints scikitlearn_set class
print.training_test_comparison

Print funnel_measure object
plot.funnel_measure

Funnel plot for difference in measures
training_test_comparison

Compare performance of model between training and test set
yhat.WrappedModel

Wrapper over the predict function
print.funnel_measure

Print funnel_measure object
print.overall_comparison

Print overall_comparison object
plot.training_test_comparison

Plot and compare performance of model between training and test set
plot.overall_comparison

Plot function for overall_comparison
explain_scikitlearn

Wrapper for Python Scikit-Learn Models
champion_challenger

Compare machine learning models
explain_mljar

Create explainer from your mljar model
explain_keras

Wrapper for Python Keras Models