![]() This option allows you to specify a regular expression for the Attribute selection. If the meta data of the ExampleSet is known all Attributes are present in the list and the required ones can easily be selected. This option allows the selection of multiple Attributes through a list (see parameter attributes). The required Attribute is selected by the attribute parameter. This option allows the selection of a single Attribute. This option selects all the Attributes of the ExampleSet, no Attributes are removed. This parameter allows you to select the Attribute selection filter the method you want to use for selecting Attributes. The ExampleSet that was given as input is passed without changing to the output through this port. The ExampleSet with only the selected Attributes is delivered to this output port. This input port expects an ExampleSet for which you want to select Attributes from. ![]() Thus it is the similar operation as the Select Attributes but applied on Examples instead of Attributes. This Operator does not select Attributes, but filters (or select) Examples. This is an implementation of the backward elimination feature selection method. It selects the most relevant Attributes according to an model which is trained inside the Operator.įor details see the documentation of the Forward Selection Operator. This is an implementation of the forward selection feature selection method. The inner result is merged back to the whole input ExampleSet. It applies the Operators in its inner process to an ExampleSet with only the Attributes which are selected by the attribute filter type. This Operator is a combination of the Select Attributes Operator and the Subprocess Operator. The Remove Correlated Attributes Operator removes Attributes which are correlated to each other. The Remove Useless Attributes Operator removes Attributes which can be considered to be useless according to some specified criteria. The Remove Attribute Range removes a range of Attributes according to the index of the Attributes. The Select by Random Operator selects a random subset of Attributes. ![]() There are several Operators which selects Attributes according to different input.įor example the Select by Weights selects Attributes whose weights match a specified criterion. Only the selected Attributes are delivered to the output port. The parameter include special attributes changes this. They will always remain in the resulting output ExampleSet. Special Attributes (Attributes with Roles, like id, label, weight) are by default ignored in the selection. The invert selection parameter reverses the selection. See parameter attribute filter type for a detailed description of the different filter types. Selection by a regular expression or selecting only Attributes without missing values. Possibilities are for example: Direct selection of Attributes. The Operator provides different filter types to make Attribute selection easy. This Operator selects a subset of Attributes of an ExampleSet and removes the other Attributes. You are viewing the RapidMiner Studio documentation for version 8.0 - Check here for latest version Select Attributes
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