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Last updated: Feb 11, 2025
The Auto Data Prep (ADP) node can analyze your data and identify fixes,
screen out fields that are problematic or not likely to be useful, derive new attributes when
appropriate, and improve performance through intelligent screening and sampling techniques. You can
use the node in fully automated fashion, allowing the node to choose and apply fixes, or you can
preview the changes before they are made and accept, reject, or amend them as desired.
Example
node = stream.create("autodataprep", "My node") node.setPropertyValue("objective", "Balanced") node.setPropertyValue("excluded_fields", "Filter") node.setPropertyValue("prepare_dates_and_times", True) node.setPropertyValue("compute_time_until_date", True) node.setPropertyValue("reference_date", "Today") node.setPropertyValue("units_for_date_durations", "Automatic")
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flag | If true, allows you to specify target, input, and other fields for the current node. If false, the current settings from an upstream Type node are used. |
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field | Specifies a single target field. |
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[field1 ... fieldN] | Input or predictor fields used by the model. |
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flag | Control access to all the date and time fields |
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