|
Class Summary |
| AbsoluteValueFilter |
This operator simply replaces all values by their absolute
respective value. |
| AbstractDateDataProcessing |
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| AbstractFilteredDataProcessing |
This class is for preprocessing operators, which can be restricted to use only a
subset of the attributes. |
| AddNominalValue |
Adds a value to a nominal attribute definition. |
| AttributeAdd |
This operator creates a new attribute for the data set. |
| AttributeCopy |
Adds a copy of a single attribute to the given example set. |
| AttributeMerge |
This operator merges two attributes by simply concatenating the values and store
those new values in a new attribute which will be nominal. |
| AttributeValueMapper |
This operator takes an ExampleSet as input and maps the
values of certain attributes to other values. |
| AttributeValueReplace |
This operator creates new attributes from nominal attributes where
the new attributes contain the original values which replaced substrings. |
| AttributeValueSplit |
This operator creates new attributes from a nominal attribute by dividing
the nominal values into parts according to a split criterion (regular expression). |
| AttributeValueSubstring |
This operator creates new attributes from nominal attributes where the new attributes contain only
substrings of the original values. |
| AttributeValueTrim |
This operator creates new attributes from nominal attributes where
the new attributes contain the trimmed original values, i.e. leading
and trailing spaces will be removed. |
| ChangeAttributeName |
This operator can be used to rename an attribute of the input example set. |
| ChangeAttributeNames2Generic |
This operator replaces the attribute names of the input example set by
generic names like att1, att2, att3 etc. |
| ChangeAttributeNamesReplace |
This operator replaces parts of the attribute names (like whitespaces, parentheses, or other unwanted characters) by
a specified replacement. |
| ChangeAttributeRole |
This operator can be used to change the attribute type of an attribute of the input example set. |
| ChangeAttributeType |
This operator can be used to change the attribute type of an attribute of the input example set. |
| Construction2Names |
This operator replaces the names of the regular attributes by the corresponding
construction descriptions if the attribute was constructed at all. |
| Date2Nominal |
This operator transforms the specified date attribute and writes a new nominal attribute
in a user specified format. |
| Date2Numerical |
This operator changes a date attribute into a numerical one. |
| DateAdjust |
This operator allows to adjust a date attribute by adding a constant value
in arbitrary units as days, hours or seconds to the attributes value. |
| DeclareMissingValueOperator |
Allows the declaration of a missing value (nominal or numeric) on a selected subset. |
| Dictionary |
Replaces strings by interpreting the second example set as a dictionary. |
| ExampleFilter |
This operator takes an ExampleSet as input and returns a new
ExampleSet including only the Examples that fulfill a
condition. |
| ExampleRangeFilter |
This operator keeps only the examples of a given range (including the borders). |
| ExampleSetToDictionary |
This operator takes two example sets and transforms the second into a dictionary. |
| ExchangeAttributeRoles |
This operator changes the attribute roles of two input attributes. |
| FeatureBlockTypeFilter |
This operator switches off all features whose block type matches the one
given in the parameter skip_features_of_type. |
| FeatureFilter |
This is an abstract superclass for feature filters. |
| FeatureNameFilter |
This operator switches off all features whose name matches the one given in
the parameter skip_features_with_name. |
| FeatureRangeRemoval |
This operator removes the attributes of a given range. |
| FeatureValueTypeFilter |
This operator switches off all features whose value type matches the one
given in the parameter skip_features_of_type. |
| FillDataGaps |
This operator fills gaps in the data based on the ID attribute of the data set. |
| InfiniteValueReplenishment |
Replaces positive and negative infinite values in examples by one of the
functions "none", "zero", "max_byte",
"max_int", "max_double", and "missing". |
| InternalBinominalRemapping |
Correct internal mapping of binominal attributes according to the specified
positive and negative values. |
| MergeNominalValues |
Merges two nominal values of a given regular attribute. |
| MissingValueImputation |
The operator MissingValueImpution imputes missing values by learning models
for each attribute (except the label) and applying those models to the data
set. |
| MissingValueReplenishment |
Replaces missing values in examples. |
| MissingValueReplenishmentView |
This operator simply creates a new view on the input data without
changing the actual data or creating a new data table. |
| Nominal2Date |
This operator parses given nominal attributes in order to create date and / or time attributes. |
| Nominal2String |
Converts all nominal attributes to string attributes. |
| NominalNumbers2Numerical |
This operator transforms nominal attributes into numerical ones. |
| NominalToBinominal |
This operator maps the values of all nominal values to binary attributes. |
| NominalToBinominalModel |
This model maps the values of all nominal values to binary attributes. |
| NominalToNumeric |
This operator maps all non numeric attributes to real valued attributes. |
| NonDominatedSorting |
This operator sorts a given example set according to a subset of attributes
and will sort pareto dominated examples after non dominated. |
| Numerical2Date |
This operator transforms a Ontology.NUMERICAL attribute into a
Ontology.DATE_TIME attribute. |
| Numerical2Real |
Converts all numerical attributes (especially integer attributes) to real valued
attributes. |
| NumericToBinominal |
Converts all numerical attributes to binary ones. |
| NumericToFormattedNominal |
This operator tries to parse numerical values and formats them in the specified
number format. |
| NumericToNominal |
Converts all numerical attributes to nominal ones. |
| NumericToPolynominal |
Converts all numerical attributes to nominal ones. |
| PermutationOperator |
This operator creates a new, shuffled ExampleSet by making creating
a shuffled view using a SortedExampleSet |
| Real2Integer |
Converts all real valued attributes to integer valued attributes. |
| RemoveDuplicates |
This operator removed duplicate examples from an example set by comparing all examples
with each other on basis of the specified attributes. |
| SetData |
This operator simply sets the value for the specified example and
attribute to the given value. |
| Sorting |
This operator sorts the given example set according to a single attribute. |
| String2Nominal |
Converts all string attributes to nominal attributes. |
| TFIDFFilter |
This operator generates TF-IDF values from the input data. |
| ValueReplenishment |
Abstract superclass for all operators that replenish values, e.g. nan or
infinite values. |
| ValueReplenishmentModel |
This class provides the preprocessing model for all value replacing operators. |
Containing filter operators changing the input example set, e.g. by removing certain attributes or changing the data.