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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).
Valid filter-specific options are:
-R col1,col2-col4,...
Specifies list of columns to Discretize. First
and last are valid indexes. (default: none)
-V
Invert matching sense.
-D
Make binary nominal attributes.
-E
Use better encoding of split point for MDL.
-K
Use Kononeko's MDL criterion.
| Constructor Summary | |
|---|---|
Discretize()
Constructor - initialises the filter |
|
| Method Summary | |
|---|---|
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 |
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. |
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 the options for this object. |
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 |
|---|
batchFilterFile, filterFile, getOutputFormat, inputFormat, isOutputFormatDefined, numPendingOutput, output, outputFormat, outputPeek, useFilter |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Discretize()
| Method Detail |
|---|
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.
-D
Make binary nominal attributes.
-E
Use better encoding of split point for MDL.
-K
Use Kononeko's MDL criterion.
setOptions in interface OptionHandleroptions - 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 boolean setInputFormat(Instances instanceInfo)
throws java.lang.Exception
setInputFormat in class FilterinstanceInfo - 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 Filterinstance - the input instance
java.lang.IllegalStateException - if no input format has been defined.public boolean batchFinished()
batchFinished in class Filterjava.lang.IllegalStateException - if no input structure has been definedpublic java.lang.String globalInfo()
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)
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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