See: Description
| Class | Description |
|---|---|
| BaseAttributeSelector |
Interface to select a subset of attributes for a dataset.
|
| BestIndividualSelector |
Selects attributes based on their individual performance.
|
| ExhaustiveAttributeSelector |
From all possible subsets, find the one that leads to the highest CV score.
|
| LassoAttributeSelector |
Uses a combination of LASSO and screening attribute sets with linear
regression to select attributes.
|
| MeredigAttributeSelector |
Select only attributes that were used by Meredig
et al.
|
| PythonBasedAttributeSelector |
Abstract class for performing attribute selection with a Python code.
|
| RandomForestAttributeSelector |
Select attributes using the feature-importance scores from RandomForest.
|
| RegexAttributeSelector |
Selects attributes based on whether their name matches a regular expression.
|
| RemoveCorrelatedAttributeSelector |
Finds pairs of attributes that are correlated with each other, and removes one of the two.
|
| RemoveDuplicateAttributeSelector |
Select only attributes that have unique values.
|
| RemoveNaNAttributeSelector |
Select attributes that have no NaN values.
|
| StagedAttributeSelector |
Selector that uses multiple selection strategies in series.
|
| UserSpecifiedAttributeSelector |
Use only attributes with a specified name or ID number.
|
| UserSpecifiedExcludingAttributeSelector |
Exclude attributes with a certain name
|
| WekaAttributeSelector |
Encapsulates Weka's ASSearch routines for attribute selection.
|
| Enum | Description |
|---|---|
| ExhaustiveAttributeSelector.EvaluationMethod |
List of methods used to evaluate model performance
|
| RemoveCorrelatedAttributeSelector.CorrelationMeasure |
List of correlation measures
|