class |
Center |
Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).
|
class |
Discretize |
An instance filter that discretizes a range of
numeric attributes in the dataset into nominal attributes.
|
class |
MathExpression |
Modify numeric attributes according to a given
mathematical expression.
|
class |
MergeManyValues |
Merges many values of a nominal attribute into one
value.
|
class |
Normalize |
Normalizes all numeric values in the given dataset
(apart from the class attribute, if set).
|
class |
NumericToBinary |
Converts all numeric attributes into binary
attributes (apart from the class attribute, if set): if the value of the
numeric attribute is exactly zero, the value of the new attribute will be
zero.
|
class |
OrdinalToNumeric |
An attribute filter that converts ordinal nominal attributes into numeric ones
Valid options are:
|
class |
PKIDiscretize |
Discretizes numeric attributes using equal
frequency binning and forces the number of bins to be equal to the square root of
the number of values of the numeric attribute.
For more information, see:
Ying Yang, Geoffrey I.
|
class |
ReplaceMissingValues |
Replaces all missing values for nominal and numeric
attributes in a dataset with the modes and means from the training data.
|
class |
ReplaceMissingWithUserConstant |
Replaces all missing values for nominal, string,
numeric and date attributes in the dataset with user-supplied constant
values.
|
class |
Standardize |
Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).
|