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#Net.sf.javaml.filter Classes and Interfaces - 26 results found.
NameDescriptionTypePackageFramework
AbstractFilterUmbrella class for filters that implements both the DatasetFilter interfaces.Classnet.sf.javaml.filterJavaML
CeilValueFilterFilter to replace all values with their ceiled equivalent.Classnet.sf.javaml.filter.instanceJavaML
ClassRemoveFilterRemoves all instances from a data set that have a specific class valueVersion:0.Classnet.sf.javaml.filterJavaML
ClassReplaceFilterReplaces a certain class value with another one.Classnet.sf.javaml.filterJavaML
ClassRetainFilterKeeps all instances from a data set that have a specific class valueVersion:0.Classnet.sf.javaml.filterJavaML
DatasetFilterThe interface for filters that can be applied on an When applying a filter to a data set it may modify the instances in theInterfacenet.sf.javaml.filterJavaML
EqualWidthBinningA filter that discretizes a range of numeric attributes in the data set into nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
FloorValueFilterFilter to replace all values with their rounded equivalentAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filter.instanceJavaML
FourBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 4 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
InstanceFilterThe interface for filters that can be applied on an Instance without the need for a referenceInterfacenet.sf.javaml.filterJavaML
InstanceNormalizeMidrangeThis filter will normalize all the attributes in an instance to a certain interval determined by a mid-range and a range.Classnet.sf.javaml.filter.normalizeJavaML
KNearestNeighborsReplaces the missing value with the average of the values of its nearest This technique does not guarantee that all missing will be replaced.Classnet.sf.javaml.filter.missingvalueJavaML
MissingClassFilterFilters all instances from a data set that have their class value not setVersion:0.Classnet.sf.javaml.filterJavaML
NormalizeMeanThis filter will normalize the data set with mean 0 and standard deviation 1 The normalization will be done on the attributes, so each attribute will haveClassnet.sf.javaml.filter.normalizeJavaML
NormalizeMeanIQR135This filter will normalize the data set with mean 0 and standard deviation 1 The normalization will be done on the attributes, so each attribute will haveClassnet.sf.javaml.filter.normalizeJavaML
NormalizeMidrangeThis filter will normalize the data set with a certain mid-range and a certain range for each attribute.Classnet.sf.javaml.filter.normalizeJavaML
RecursiveMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
RemoveAttributesClassnet.sf.javaml.filterJavaML
RemoveMissingValueRemoves all instances that have missing values.Classnet.sf.javaml.filter.missingvalueJavaML
ReplaceValueFilterClassnet.sf.javaml.filter.instanceJavaML
ReplaceWithValueReplaces all Double.Classnet.sf.javaml.filter.missingvalueJavaML
RetainAttributesFilter to retain a set of wanted attributes and remove all othersAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filterJavaML
RoundValueFilterFilter to replace all values with their rounded equivalentAuthor:Thomas Abeel (thomas@abeel.Classnet.sf.javaml.filter.instanceJavaML
ThreeBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 3 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
TwoBinMinimalEntropyPartitioningA filter that discretizes a range of numeric attributes in the data set into 2 nominal attributes.Classnet.sf.javaml.filter.discretizeJavaML
UnsetClassFilterFilter to remove class information from a data set or instance.Classnet.sf.javaml.filterJavaML