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stablelearner (version 0.1-2)

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

2,247

Version

0.1-2

License

GPL-2 | GPL-3

Maintainer

Michel Philipp

Last Published

April 17th, 2020

Functions in stablelearner (0.1-2)

stabletree

Stability Assessment for Tree Learners
titanic

Passengers and Crew on the RMS Titanic
similarity_values

Extracting Similarity Values
stabletree-coercion

Coercion Functions
stability

Stability Assessment for Results from Supervised Statistical Learning
stab_control

Control for Supervised Stability Assessments
similarity_measures_regression

Similarity Measure Infrastructure for Stability Assessment with Numerical Responses
summary.stablelearnerList

Summarize Results from Stability Assessment
tuner

Tuning Wrapper Function
getLearner

Get Learner Details from LearnerList
boxplot.stablelearnerList

Illustrate Results from Stability Assessment
similarity_measures_classification

Similarity Measure Infrastructure for Stability Assessment with Ordinal Responses
addLearner

Add Learners to LearnerList
accuracy

Prediction Accuracy from Stability Assessment Results
bootstrap

Sampler Infrastructure for Stability Assessment
dgp_twoclass

Data-Ggnerating Function for Two-Class Problem
plot.stabletree

Visualizing Tree Stability Assessments
LearnerList

List of Predefined Learners for Assessing Stability