|  | ## Generate Aggregation

#### Synopsis

This operator constructs a new attribute by aggregating values of other attributes in every example.

#### Description

Allows to generate a new attribute which consists of a function of several other attributes. As functions, several aggregation attributes are available.

#### Input

- example set input: expects: ExampleSetMetaData: #examples: = 0; #attributes: 0

#### Output

- example set output:
- original:

#### Parameters

- attribute name: Name of the resulting attributes.
- attribute filter type: The condition specifies which attributes are selected or affected by this operator.
- attribute: The attribute which should be chosen.
- attributes: The attribute which should be chosen.
- regular expression: A regular expression for the names of the attributes which should be kept.
- use except expression: If enabled, an exception to the specified regular expression might be specified. Attributes of matching this will be filtered out, although matching the first expression.
- except regular expression: A regular expression for the names of the attributes which should be filtered out although matching the above regular expression.
- value type: The value type of the attributes.
- use value type exception: If enabled, an exception to the specified value type might be specified. Attributes of this type will be filtered out, although matching the first specified type.
- except value type: Except this value type.
- block type: The block type of the attributes.
- use block type exception: If enabled, an exception to the specified block type might be specified.
- except block type: Except this block type.
- numeric condition: Parameter string for the condition, e.g. '>= 5'
- invert selection: Indicates if only attributes should be accepted which would normally filtered.
- include special attributes: Indicate if this operator should also be applied on the special attributes. Otherwise they are always kept.
- aggregation function: Function for aggregating the attribute values.
- keep all: Indicates if the all old attributes should be kept.
- ignore missings: Indicates if missings should be ignored and aggregation should be based only on existing values or not. In the latter case the aggregated value will be missing in the presence of missing values.

#### ExampleProcess