|
Class Summary |
| AbstractTimeSeriesFilter |
An abstract instance filter that assumes instances form time-series data and
performs some merging of attribute values in the current instance with
attribute attribute values of some previous (or future) instance. |
| AddFilter |
An instance filter that adds a new attribute to the dataset. |
| AllFilter |
A simple instance filter that passes all instances directly
through. |
| AttributeExpressionFilter |
Applys a mathematical expression involving attributes and numeric
constants to a dataset. |
| AttributeFilter |
An instance filter that deletes a range of attributes from the dataset. |
| AttributeSelectionFilter |
Filter for doing attribute selection. |
| AttributeTypeFilter |
An instance filter that deletes all attributes of a specified type
from the dataset. |
| CopyAttributesFilter |
An instance filter that copies a range of attributes in the dataset. |
| DiscretizeFilter |
An instance filter that discretizes a range of numeric attributes in
the dataset into nominal attributes. |
| EmptyAttributeFilter |
Removes all attributes that do not contain more than one distinct
value. |
| Filter |
An abstract class for instance filters: objects that take instances
as input, carry out some transformation on the instance and then
output the instance. |
| FirstOrderFilter |
This instance filter takes a range of N numeric attributes and replaces
them with N-1 numeric attributes, the values of which are the difference
between consecutive attribute values from the original instance. |
| InstanceFilter |
Filters instances according to the value of an attribute. |
| MakeIndicatorFilter |
Creates a new dataset with a boolean attribute replacing a nominal
attribute. |
| MergeTwoValuesFilter |
Merges two values of a nominal attribute. |
| NominalToBinaryFilter |
Converts all nominal attributes into binary numeric
attributes. |
| NonSparseToSparseFilter |
A filter that converts all incoming instances into sparse format. |
| NormalizationFilter |
Normalizes all numeric values in the given dataset. |
| NullFilter |
A simple instance filter that allows no instances to pass
through. |
| NumericToBinaryFilter |
Converts all numeric attributes into binary attributes (apart from
the class attribute): if the value of the numeric attribute is
exactly zero, the value of the new attribute will be zero. |
| NumericTransformFilter |
Transforms numeric attributes using a
given transformation method. |
| ObfuscateFilter |
A simple instance filter that renames the relation, all attribute names
and all nominal (and string) attribute values. |
| RandomizeFilter |
This filter randomly shuffles the order of instances passed through it. |
| ReplaceMissingValuesFilter |
Replaces all missing values for nominal and numeric attributes in a
dataset with the modes and means from the training data. |
| ResampleFilter |
Produces a random subsample of a dataset. |
| SparseToNonSparseFilter |
A filter that converts all incoming sparse instances into
non-sparse format. |
| SplitDatasetFilter |
This filter takes a dataset and outputs a subset of it. |
| SpreadSubsampleFilter |
Produces a random subsample of a dataset. |
| StringToNominalFilter |
Converts a string attribute (i.e. |
| SwapAttributeValuesFilter |
Swaps two values of a nominal attribute. |
| TimeSeriesDeltaFilter |
An instance filter that assumes instances form time-series data and
replaces attribute values in the current instance with the difference
between the current value and the equivalent attribute attribute value
of some previous (or future) instance. |
| TimeSeriesTranslateFilter |
An instance filter that assumes instances form time-series data and
replaces attribute values in the current instance with the equivalent
attribute attribute values of some previous (or future) instance. |