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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
0.1-4
0.1-3
0.1-2
0.1-1
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install.packages('stablelearner')
Monthly Downloads
1,450
Version
0.1-4
License
GPL-2 | GPL-3
Maintainer
Achim Zeileis
Last Published
March 18th, 2022
Functions in stablelearner (0.1-4)
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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