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stablelearner (version 0.1-4)

Stability Assessment of Statistical Learning Methods

Description

Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.

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Version

Install

install.packages('stablelearner')

Monthly Downloads

1,245

Version

0.1-4

License

GPL-2 | GPL-3

Maintainer

Achim Zeileis

Last Published

March 18th, 2022

Functions in stablelearner (0.1-4)

addLearner

Add Learners to LearnerList
bootstrap

Sampler Infrastructure for Stability Assessment
dgp_twoclass

Data-Ggnerating Function for Two-Class Problem
summary.stablelearnerList

Summarize Results from Stability Assessment
stabletree

Stability Assessment for Tree Learners
boxplot.stablelearnerList

Illustrate Results from Stability Assessment
stabletree-coercion

Coercion Functions
similarity_measures_classification

Similarity Measure Infrastructure for Stability Assessment with Ordinal Responses
similarity_measures_regression

Similarity Measure Infrastructure for Stability Assessment with Numerical Responses
stability

Stability Assessment for Results from Supervised Statistical Learning
LearnerList

List of Predefined Learners for Assessing Stability
accuracy

Prediction Accuracy from Stability Assessment Results
getLearner

Get Learner Details from LearnerList
plot.stabletree

Visualizing Tree Stability Assessments
titanic

Passengers and Crew on the RMS Titanic
similarity_values

Extracting Similarity Values
stab_control

Control for Supervised Stability Assessments
tuner

Tuning Wrapper Function