Search Java Classes and Packages
#Weka.attributeSelection Classes and Interfaces - 21 results found.
| Name | Description | Type | Package | Framework |
| ASEvaluation | Abstract attribute selection evaluation classVersion:$Revision: 12201 $Author:Mark Hall (mhall@cs. | Class | weka.attributeSelection | Weka |
| ASSearch | Abstract attribute selection search class. | Class | weka.attributeSelection | Weka |
| AttributeEvaluator | Interface for classes that evaluate attributes individually. | Interface | weka.attributeSelection | Weka |
| AttributeSelection | Attribute selection class. | Class | weka.attributeSelection | Weka |
| AttributeSetEvaluator | Abstract attribute set evaluator. | Class | weka.attributeSelection | Weka |
| AttributeTransformer | Abstract attribute transformer. | Interface | weka.attributeSelection | Weka |
| BestFirst | Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility. | Class | weka.attributeSelection | Weka |
| CfsSubsetEval | Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy | Class | weka.attributeSelection | Weka |
| CheckAttributeSelection | Class for examining the capabilities and finding problems with attribute selection schemes. | Class | weka.attributeSelection | Weka |
| CorrelationAttributeEval | CorrelationAttributeEval : Evaluates the worth of an attribute by measuring the correlation (Pearson's) | Class | weka.attributeSelection | Weka |
| OneRAttributeEval | OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier. | Class | weka.attributeSelection | Weka |
| PrincipalComponents | Performs a principal components analysis and transformation of the data. | Class | weka.attributeSelection | Weka |
| RankedOutputSearch | Interface for search methods capable of producing a ranked list of attributes. | Interface | weka.attributeSelection | Weka |
| Ranker | Ranks attributes by their individual evaluations. | Class | weka.attributeSelection | Weka |
| ReliefFAttributeEval | ReliefFAttributeEval : Evaluates the worth of an attribute by repeatedly sampling an instance and | Class | weka.attributeSelection | Weka |
| StartSetHandler | Interface for search methods capable of doing something sensible given a starting set of attributes. | Interface | weka.attributeSelection | Weka |
| SubsetEvaluator | Interface for attribute subset evaluators. | Interface | weka.attributeSelection | Weka |
| SymmetricalUncertAttributeEval | SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertainty | Class | weka.attributeSelection | Weka |
| UnsupervisedAttributeEvaluator | Abstract unsupervised attribute evaluator. | Class | weka.attributeSelection | Weka |
| UnsupervisedSubsetEvaluator | Abstract unsupervised attribute subset evaluator. | Class | weka.attributeSelection | Weka |
| WrapperSubsetEval | Evaluates attribute sets by using a learning scheme. | Class | weka.attributeSelection | Weka |