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stablelearner (version 0.1-3)
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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install.packages('stablelearner')
Monthly Downloads
1,450
Version
0.1-3
License
GPL-2 | GPL-3
Maintainer
Michel Philipp
Last Published
January 10th, 2021
Functions in stablelearner (0.1-3)
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getLearner
Get Learner Details from
LearnerList
bootstrap
Sampler Infrastructure for Stability Assessment
boxplot.stablelearnerList
Illustrate Results from Stability Assessment
LearnerList
List of Predefined Learners for Assessing Stability
dgp_twoclass
Data-Ggnerating Function for Two-Class Problem
similarity_measures_regression
Similarity Measure Infrastructure for Stability Assessment with Numerical Responses
similarity_measures_classification
Similarity Measure Infrastructure for Stability Assessment with Ordinal Responses
plot.stabletree
Visualizing Tree Stability Assessments
accuracy
Prediction Accuracy from Stability Assessment Results
addLearner
Add Learners to
LearnerList
similarity_values
Extracting Similarity Values
stab_control
Control for Supervised Stability Assessments
stabletree-coercion
Coercion Functions
stability
Stability Assessment for Results from Supervised Statistical Learning
stabletree
Stability Assessment for Tree Learners
summary.stablelearnerList
Summarize Results from Stability Assessment
tuner
Tuning Wrapper Function
titanic
Passengers and Crew on the RMS Titanic