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- learn from the table (createScoreCombiner) then apply using combineScores operator
- approximateLabelLook operator
- regular join
Operator Usage in Easy Mode
- Click + on the parent node.
- Enter the Generate Scores operator in the search field and select the operator from the Results to open the operator form.
- In the Table drop-down, enter or select the table containing the data to run this operator on.
- In the Number of Rows field, enter the number of rows to generate the scores.
- In the Column names, click Add More to add the list of column names to generate.
- Click Run to view the result.
- Click Save to add the operator to the playbook.
- Click Cancel to discard the operator form.
Usage Details
LQL Command
Code Block |
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generateScores(table, numberOfRows, arrayOfColumnNames) |
table
: input table, not important, the operators requires a parent step, output is not correlated to input
numberOfRows
: number of rows to produce
arrayOfColumnNames
: column names example, ["score1", "score2", "score3"]
Example
LQL command
Code Block |
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generateScores(lsof, 20, ["score1", "score2", "score3", "score4"]) --should create 20 rows and 4 columns in the arguments + lhub_score with no scores table where each row is distinct |
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