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Instead of processing all of tableB
, use the scores (or labels) that are already determined for the parts that are similar to tableA. With this method, only the portions of tableB
that are not similar to tableA must be processed and scored. It is not necessary to repeat the processing for the similar portions of the tables.
Operator Usage in Easy Mode
- Click + on the parent node.
- Enter the Approximate Label Lookup operator in the search field and select the operator from the Results to open the operator form.
- In the Reference table drop-down, enter or select a reference table.
- Click Add More to add the list of field names in the reference table to measure similarity.
- In the Ref Label field, enter the label field name in the reference table.
- In the Score Table drop-down, enter or select a table to be scored.
- Click Add More to add the list of columns in the to-be-labeled table, same order as in the reference field.
- Click Run to view the result.
- Click Save to add the operator to the playbook.
- Click Cancel to discard the operator form.
Usage Details
``` {text}approximateLabelLookup(tableA,listOfColumnsFromTableA, scoreColumn, tableB, listOfColumnsFromTableB)
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