Defining Binning Properties
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Under Primary Stages / Deployed
Stages / Machine Learning, click the
Binning stage and drag it onto the canvas, placing it
where you want on the dataflow and connecting it to other stages. Note that the
input stage must be the data source that contains both the objective and input
variable fields for your model; an output stage is not required unless you
select the Score input data option on the Basic Options tab. You may also
connect an output stage if you wish to capture your output independent of the
Machine Learning Model Management tool.
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Double-click the Binning stage to show the Binning Options
dialog box.
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Enter a Binning name if you do not want to use the
default name.
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Check the Overwrite box to overwrite the existing model
with new data.
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Enter a Description of the model.
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Click Include for each field whose data you want
included in binning. Note that only numeric fields will appear in this
list.
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Click OK to save your settings.