Package PyML :: Package feature_selection :: Module featsel :: Class Random
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Class Random

source code

     object --+    
              |    
FeatureSelector --+
                  |
                 Random

A feature selection method that keeps a random set of features

Construction:

Random(numFeatures)
Instance Methods
 
__init__(self, arg1, *options, **settings)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
source code
 
__repr__(self)
repr(x)
source code
 
selectFeatures(self, data, *options, **args)
Returns: a list of predictive features
source code

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __str__

    Inherited from FeatureSelector
 
rank(self, data, **args)
Returns: a ranking of the features in the dataset by converting the scores to ranks
source code
 
score(self, data, **args)
Returns: a score for each feature in the input dataset
source code
 
select(self, data, *options, **args)
invokes selectFeatures to find predictive features and eliminates the rest of the features from the input dataset
source code
 
test(self, data, *options, **args) source code
 
train(self, data, *options, **args)
invokes selectFeatures to find predictive features and eliminates the rest of the features from the input dataset
source code
Class Variables
    Inherited from FeatureSelector
  type = 'featureSelector'
Properties

Inherited from object: __class__

Method Details

__init__(self, arg1, *options, **settings)
(Constructor)

source code 

x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: object.__init__
(inherited documentation)

__repr__(self)
(Representation operator)

source code 

repr(x)

Overrides: object.__repr__
(inherited documentation)

selectFeatures(self, data, *options, **args)

source code 
Returns:
a list of predictive features
Overrides: FeatureSelector.selectFeatures
(inherited documentation)