RerF
2.0.5
Install
From PyPI
From source
Requirements
Install (from source)
Reference
Demos
General Demos
Demo of RerF Parameter sweep over (d,
\(\lambda\)
) on Fisher’s Iris data.
Example usage
Test perfect training accuracy on iris
OpenML Datasets: Banknote example
OpenML banknote-authentication:
OpenML Datasets: Plant Shapes Example
OOB Errors for Random Forests
S-RerF
Structured RerF Demo: Circle Experiment
Feature Importance on MNIST with feature counts
Structured RerF Demo: Impulse Response
MNIST classification using structured-RerF
Recognizing hand-written digits using Structured RerF
Structured RerF Demo
Comparisons
Trunk’s Example: The Curse of Dimensionality
Classifier comparison
Testing Times on Iris, MNIST, HIGGS, and p53
Unsupervised RerF
Iris Classification
Useful Links
RerF @ GitHub
RerF @ PyPI
RerF @ Gigantum
Issue Tracker
RerF
Docs
»
Index
Index
C
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F
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P
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R
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T
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U
C
check_version() (in module rerf)
F
fastPredict() (in module rerf.RerF)
fastPredictPost() (in module rerf.RerF)
fastRerF() (in module rerf.RerF)
fit() (rerf.rerfClassifier.rerfClassifier method)
(rerf.urerf.UnsupervisedRandomForest method)
P
predict() (rerf.rerfClassifier.rerfClassifier method)
predict_log_proba() (rerf.rerfClassifier.rerfClassifier method)
predict_proba() (rerf.rerfClassifier.rerfClassifier method)
R
rerf (module)
rerf.RerF (module)
rerf.rerfClassifier (module)
rerf.urerf (module)
rerfClassifier (class in rerf.rerfClassifier)
T
transform() (rerf.urerf.UnsupervisedRandomForest method)
U
UnsupervisedRandomForest (class in rerf.urerf)