The role of the 'Confidence' attributes are set to confidence_. If the Prediction Model also creates 'Confidence' attributes (in case the horizon attribute is nominal), the 'Confidence' attributes are named confidence( = ). The name of the 'Prediction' attributes is set to prediction(), the special role of the 'Prediction' attribute is set to prediction_. When the Multi Horizon Forecast Model is applied on an ExampleSet (using the Apply Model operator) the Prediction Models of the wrapper model are used to create a 'Prediction' attribute for every horizon attribute. The name and type of the current horizon attribute in the subprocess can be added as macros if the parameter add macros is selected. Note that the role of all other attributes are not changed. If the input data has such an attribute, its role has to be set to another role with the Set Role operator. To ensure a defined behavior the input ExampleSet is not allowed to have a normal 'Label' attribute. The Prediction Models are collected and provided as the Multi Horizon Forecast Model at the model output port of the operator.Īdditional objects can be passed in and out of the subprocess through the input and output port extender. The Prediction Model has to be provided to the model port of the inner subprocess.
It can be used to train a Prediction Model for the corresponding horizon attribute. The input training data, with the current horizon attribute set to the Label role, is provided at the inner training set port.
The inner subprocess of the operator is executed for each selected horizon attribute.
#About rapidminer studio windows#
The default regular expression (if parameter use default regular expression is selected) is: "horizon \+ (\d+)" which matches the attribute roles created by the Windowing or Process Windows operators. The horizon attributes are selected using a regular expression on the attribute roles. This operator trains a Multi Horizon Forecast Model on an input ExampleSet containing multiple horizon attributes (future values).Ī Multi Horizon Forecast Model is a Meta Model able to predict multiple horizon attributes at once.įor each horizon attribute, the Multi Horizon Forecast Model contains a Prediction Model.
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