Package | Description |
---|---|
weka.attributeSelection |
Modifier and Type | Class and Description |
---|---|
class |
CfsSubsetEval
CfsSubsetEval :
Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy between them. Subsets of features that are highly correlated with the class while having low intercorrelation are preferred. For more information see: M. |
class |
ClassifierSubsetEval
Classifier subset evaluator:
Evaluates attribute subsets on training data or a seperate hold out testing set. |
class |
ConsistencySubsetEval
ConsistencySubsetEval :
Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes. |
class |
CostSensitiveSubsetEval
A meta subset evaluator that makes its base subset evaluator cost-sensitive.
|
class |
FilteredSubsetEval
Class for running an arbitrary subset evaluator on data that has been passed through an arbitrary
filter (note: filters that alter the order or number of attributes are not allowed).
|
class |
HoldOutSubsetEvaluator
Abstract attribute subset evaluator capable of evaluating subsets with
respect to a data set that is distinct from that used to initialize/
train the subset evaluator.
|
class |
UnsupervisedSubsetEvaluator
Abstract unsupervised attribute subset evaluator.
|
class |
WrapperSubsetEval
WrapperSubsetEval:
Evaluates attribute sets by using a learning scheme. |
Modifier and Type | Method and Description |
---|---|
BitSet |
LFSMethods.floatingForwardSearch(int cacheSize,
BitSet startGroup,
int[] ranking,
int k,
boolean incrementK,
int maxStale,
Instances data,
SubsetEvaluator evaluator,
boolean verbose)
Performs linear floating forward selection
( the stopping criteria cannot be changed to a specific size value )
|
BitSet |
LFSMethods.forwardSearch(int cacheSize,
BitSet startGroup,
int[] ranking,
int k,
boolean incrementK,
int maxStale,
int forceResultSize,
Instances data,
SubsetEvaluator evaluator,
boolean verbose)
Performs linear forward selection
|
int[] |
LFSMethods.rankAttributes(Instances data,
SubsetEvaluator evaluator,
boolean verbose) |
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