WOW: Weka Option Wizard

In RWeka: R/Weka Interface

Description

Give on-line information about available control options for Weka learners or filters and their R interfaces.

Usage

WOW(x)

Arguments

x	a character string giving either the fully qualified name of a Weka learner or filter class in JNI notation, or the name of an available R interface, or an object obtained from applying these interfaces to build an associator, classifier, clusterer, or filter.

Details

See list_Weka_interfaces for the available interface functions.

References

K. Hornik, C. Buchta, and A. Zeileis (2009). Open-source machine learning: R meets Weka. Computational Statistics, 24/2, 225–232. doi: 10.1007/s00180-008-0119-7.

Examples

## The name of an "existing" (registered) interface.
WOW("J48")
## The name of some Weka class (not necessarily in the interface
## registry):
WOW("weka/classifiers/bayes/NaiveBayes")

Example output

OpenJDK 64-Bit Server VM warning: Can't detect initial thread stack location - find_vma failed
-U      Use unpruned tree.
-O      Do not collapse tree.
-C <pruning confidence>
        Set confidence threshold for pruning.  (default 0.25)
	Number of arguments: 1.
-M <minimum number of instances>
        Set minimum number of instances per leaf.  (default 2)
	Number of arguments: 1.
-R      Use reduced error pruning.
-N <number of folds>
        Set number of folds for reduced error pruning. One fold is used
        as pruning set.  (default 3)
	Number of arguments: 1.
-B      Use binary splits only.
-S      Do not perform subtree raising.
-L      Do not clean up after the tree has been built.
-A      Laplace smoothing for predicted probabilities.
-J      Do not use MDL correction for info gain on numeric attributes.
-Q <seed>
        Seed for random data shuffling (default 1).
	Number of arguments: 1.
-doNotMakeSplitPointActualValue
        Do not make split point actual value.
-output-debug-info
        If set, classifier is run in debug mode and may output
        additional info to the console
-do-not-check-capabilities
        If set, classifier capabilities are not checked before
        classifier is built (use with caution).
-num-decimal-places
        The number of decimal places for the output of numbers in the
        model (default 2).
	Number of arguments: 1.
-batch-size
        The desired batch size for batch prediction (default 100).
	Number of arguments: 1.
-K      Use kernel density estimator rather than normal distribution
        for numeric attributes
-D      Use supervised discretization to process numeric attributes
-O      Display model in old format (good when there are many classes)
-output-debug-info
        If set, classifier is run in debug mode and may output
        additional info to the console
-do-not-check-capabilities
        If set, classifier capabilities are not checked before
        classifier is built (use with caution).
-num-decimal-places
        The number of decimal places for the output of numbers in the
        model (default 2).
	Number of arguments: 1.
-batch-size
        The desired batch size for batch prediction (default 100).
	Number of arguments: 1.
Warning message:
system call failed: Cannot allocate memory 

RWeka documentation built on Aug. 23, 2020, 5:07 p.m.