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java.lang.Objectweka.filters.Filter
weka.filters.unsupervised.attribute.PotentialClassIgnorer
weka.filters.unsupervised.attribute.Normalize
public class Normalize
Normalizes all numeric values in the given dataset (apart from the class attribute, if set). The resulting values are by default in [0,1] for the data used to compute the normalization intervals. But with the scale and translation parameters one can change that, e.g., with scale = 2.0 and translation = -1.0 you get values in the range [-1,+1].
Valid options are:-unset-class-temporarily Unsets the class index temporarily before the filter is applied to the data. (default: no)
-S <num> The scaling factor for the output range. (default: 1.0)
-T <num> The translation of the output range. (default: 0.0)
| Constructor Summary | |
|---|---|
Normalize()
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| Method Summary | |
|---|---|
boolean |
batchFinished()
Signify that this batch of input to the filter is finished. |
Capabilities |
getCapabilities()
Returns the Capabilities of this filter. |
double[] |
getMaxArray()
Returns the calculated maximum values for the attributes in the data. |
double[] |
getMinArray()
Returns the calculated minimum values for the attributes in the data. |
java.lang.String[] |
getOptions()
Gets the current settings of the filter. |
java.lang.String |
getRevision()
Returns the revision string. |
double |
getScale()
Get the scaling factor. |
double |
getTranslation()
Get the translation. |
java.lang.String |
globalInfo()
Returns a string describing this filter. |
boolean |
input(Instance instance)
Input an instance for filtering. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] args)
Main method for running this filter. |
java.lang.String |
scaleTipText()
Returns the tip text for this property. |
boolean |
setInputFormat(Instances instanceInfo)
Sets the format of the input instances. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setScale(double value)
Sets the scaling factor. |
void |
setTranslation(double value)
Sets the translation. |
java.lang.String |
toSource(java.lang.String className,
Instances data)
Returns a string that describes the filter as source. |
java.lang.String |
translationTipText()
Returns the tip text for this property. |
| Methods inherited from class weka.filters.unsupervised.attribute.PotentialClassIgnorer |
|---|
getIgnoreClass, getOutputFormat, ignoreClassTipText, setIgnoreClass |
| Methods inherited from class weka.filters.Filter |
|---|
batchFilterFile, filterFile, getCapabilities, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, numPendingOutput, output, outputPeek, toString, useFilter, wekaStaticWrapper |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public Normalize()
| Method Detail |
|---|
public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class PotentialClassIgnorer
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-unset-class-temporarily Unsets the class index temporarily before the filter is applied to the data. (default: no)
-S <num> The scaling factor for the output range. (default: 1.0)
-T <num> The translation of the output range. (default: 0.0)
setOptions in interface OptionHandlersetOptions in class PotentialClassIgnoreroptions - 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 OptionHandlergetOptions in class PotentialClassIgnorerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class FilterCapabilities
public boolean setInputFormat(Instances instanceInfo)
throws java.lang.Exception
setInputFormat in class PotentialClassIgnorerinstanceInfo - 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 successfully
public boolean input(Instance instance)
throws java.lang.Exception
input in class Filterinstance - the input instance
java.lang.Exception - if an error occurs
java.lang.IllegalStateException - if no input format has been set.
public boolean batchFinished()
throws java.lang.Exception
batchFinished in class Filterjava.lang.Exception - if an error occurs
java.lang.IllegalStateException - if no input structure has been defined
public java.lang.String toSource(java.lang.String className,
Instances data)
throws java.lang.Exception
// converts one row
public static Object[] filter(Object[] i);
// converts a full dataset (first dimension is row index)
public static Object[][] filter(Object[][] i);
where the array i contains elements that are either
Double, String, with missing values represented as null. The generated
code is public domain and comes with no warranty.
toSource in interface SourcableclassName - the name that should be given to the source class.data - the dataset used for initializing the filter
java.lang.Exception - if the source can't be computedpublic double[] getMinArray()
public double[] getMaxArray()
public java.lang.String scaleTipText()
public double getScale()
public void setScale(double value)
value - the scaling factorpublic java.lang.String translationTipText()
public double getTranslation()
public void setTranslation(double value)
value - the translationpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Filterpublic static void main(java.lang.String[] args)
args - should contain arguments to the filter, use -h for help
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