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java.lang.Objectweka.filters.Filter
weka.filters.supervised.attribute.Discretize
public class Discretize
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by Fayyad & Irani's MDL method (the default).
For more information, see:
Usama M. Fayyad, Keki B. Irani: Multi-interval discretization of continuousvalued attributes for classification learning. In: Thirteenth International Joint Conference on Articial Intelligence, 1022-1027, 1993.
Igor Kononenko: On Biases in Estimating Multi-Valued Attributes. In: 14th International Joint Conference on Articial Intelligence, 1034-1040, 1995.
@inproceedings{Fayyad1993, author = {Usama M. Fayyad and Keki B. Irani}, booktitle = {Thirteenth International Joint Conference on Articial Intelligence}, pages = {1022-1027}, publisher = {Morgan Kaufmann Publishers}, title = {Multi-interval discretization of continuousvalued attributes for classification learning}, volume = {2}, year = {1993} } @inproceedings{Kononenko1995, author = {Igor Kononenko}, booktitle = {14th International Joint Conference on Articial Intelligence}, pages = {1034-1040}, title = {On Biases in Estimating Multi-Valued Attributes}, year = {1995}, PS = {http://ai.fri.uni-lj.si/papers/kononenko95-ijcai.ps.gz} }Valid options are:
-R <col1,col2-col4,...> Specifies list of columns to Discretize. First and last are valid indexes. (default none)
-V Invert matching sense of column indexes.
-D Output binary attributes for discretized attributes.
-E Use better encoding of split point for MDL.
-K Use Kononenko's MDL criterion.
Constructor Summary | |
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Discretize()
Constructor - initialises the filter |
Method Summary | |
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java.lang.String |
attributeIndicesTipText()
Returns the tip text for this property |
boolean |
batchFinished()
Signifies that this batch of input to the filter is finished. |
java.lang.String |
getAttributeIndices()
Gets the current range selection |
Capabilities |
getCapabilities()
Returns the Capabilities of this filter. |
double[] |
getCutPoints(int attributeIndex)
Gets the cut points for an attribute |
boolean |
getInvertSelection()
Gets whether the supplied columns are to be removed or kept |
boolean |
getMakeBinary()
Gets whether binary attributes should be made for discretized ones. |
java.lang.String[] |
getOptions()
Gets the current settings of the filter. |
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. |
boolean |
getUseBetterEncoding()
Gets whether better encoding is to be used for MDL. |
boolean |
getUseKononenko()
Gets whether Kononenko's MDL criterion is to be used. |
java.lang.String |
globalInfo()
Returns a string describing this filter |
boolean |
input(Instance instance)
Input an instance for filtering. |
java.lang.String |
invertSelectionTipText()
Returns the tip text for this property |
java.util.Enumeration |
listOptions()
Gets an enumeration describing the available options. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
makeBinaryTipText()
Returns the tip text for this property |
void |
setAttributeIndices(java.lang.String rangeList)
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized). |
void |
setAttributeIndicesArray(int[] attributes)
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized). |
boolean |
setInputFormat(Instances instanceInfo)
Sets the format of the input instances. |
void |
setInvertSelection(boolean invert)
Sets whether selected columns should be removed or kept. |
void |
setMakeBinary(boolean makeBinary)
Sets whether binary attributes should be made for discretized ones. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setUseBetterEncoding(boolean useBetterEncoding)
Sets whether better encoding is to be used for MDL. |
void |
setUseKononenko(boolean useKon)
Sets whether Kononenko's MDL criterion is to be used. |
java.lang.String |
useBetterEncodingTipText()
Returns the tip text for this property |
java.lang.String |
useKononenkoTipText()
Returns the tip text for this property |
Methods inherited from class weka.filters.Filter |
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batchFilterFile, filterFile, getCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, numPendingOutput, output, outputPeek, toString, useFilter, wekaStaticWrapper |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public Discretize()
Method Detail |
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public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-R <col1,col2-col4,...> Specifies list of columns to Discretize. First and last are valid indexes. (default none)
-V Invert matching sense of column indexes.
-D Output binary attributes for discretized attributes.
-E Use better encoding of split point for MDL.
-K Use Kononenko's MDL criterion.
setOptions
in interface OptionHandler
options
- the list of options as an array of strings
java.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Filter
Capabilities
public boolean setInputFormat(Instances instanceInfo) throws java.lang.Exception
setInputFormat
in class Filter
instanceInfo
- an Instances object containing the input instance
structure (any instances contained in the object are ignored - only the
structure is required).
java.lang.Exception
- if the input format can't be set successfullypublic boolean input(Instance instance)
input
in class Filter
instance
- the input instance
java.lang.IllegalStateException
- if no input format has been defined.public boolean batchFinished()
batchFinished
in class Filter
java.lang.IllegalStateException
- if no input structure has been definedpublic java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public java.lang.String makeBinaryTipText()
public boolean getMakeBinary()
public void setMakeBinary(boolean makeBinary)
makeBinary
- if binary attributes are to be madepublic java.lang.String useKononenkoTipText()
public boolean getUseKononenko()
public void setUseKononenko(boolean useKon)
useKon
- true if Kononenko's one is to be usedpublic java.lang.String useBetterEncodingTipText()
public boolean getUseBetterEncoding()
public void setUseBetterEncoding(boolean useBetterEncoding)
useBetterEncoding
- true if better encoding to be used.public java.lang.String invertSelectionTipText()
public boolean getInvertSelection()
public void setInvertSelection(boolean invert)
invert
- the new invert settingpublic java.lang.String attributeIndicesTipText()
public java.lang.String getAttributeIndices()
public void setAttributeIndices(java.lang.String rangeList)
rangeList
- a string representing the list of attributes. Since
the string will typically come from a user, attributes are indexed from
1. java.lang.IllegalArgumentException
- if an invalid range list is suppliedpublic void setAttributeIndicesArray(int[] attributes)
attributes
- an array containing indexes of attributes to Discretize.
Since the array will typically come from a program, attributes are indexed
from 0.
java.lang.IllegalArgumentException
- if an invalid set of ranges
is suppliedpublic double[] getCutPoints(int attributeIndex)
attributeIndex
- the index (from 0) of the attribute to get the cut points of
public static void main(java.lang.String[] argv)
argv
- should contain arguments to the filter: use -h for help
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