Feature Table

Writes selected features of the incoming network to a data table.

A one value column table represents all values in own column. It also contains a feature type column (e.g. string, float, ...) and a feature name column. Example of a one value column table:

Feature target	Graph id	Edge id	Node id	Feature name	Feature type	Feature value
graph	ID	?	?	Description	string	Bla bla bla
node	ID	?	Node1	label	string	Label1
edge	ID	Edge1	?	weight	float	1.0
end	ID	Edge1	Node2	is_target	boolean	true

A table with separate value columns contains for each value a separate column. The example table from above would look like the following:

Feature target	Graph id	Edge id	Node id	Description	label	weight	is_target
graph	ID	?	?	Bla bla bla	?	?	?
node	ID	?	Node1	?	Label1	?	?
edge	ID	Edge1	?	?	?	1.0	?
end	ID	Edge1	Node2	?	?	?	is_target

Options

Features: The selected features are written to the output table.
Table type: The separate value column option contains for each value a separate column whereas the one value column type contains one creates a table that contains the feature name and value in one column. In a wide table each feature has its own column.
Node id: The optional column that contains the id of the nodes to extract the feature values for. If node and edge id column are given they are treated as an end object.
Edge id: The optional column that contains the id of the edges to extract the feature values for. If node and edge id column are given they are treated as an end object.

Input Ports

: Network to write its features
: Optional object id table

Output Ports

: Feature table

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