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Topic :: Machine Learning :: Recursive Partitioning [Remove This Filter]
Programming Language :: C/C++ [Remove This Filter]
3 projects in result set.
0. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.
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- Development Status : 4 - Beta [Filter]
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Activity Percentile: 100.00
Registered: 2008-09-30 11:39 |
1. party - The core of party is ctree(), an implementation of conditional inference trees.
Based on conditional inference trees, cforest()
implements random forests. The function mob()
partitions parametric models.
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- Development Status : 5 - Production/Stable [Filter]
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Activity Percentile: 64.29
Registered: 2011-12-21 11:15 |
2. Isolation Forest - This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2009-07-14 06:02 |
