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Predict a label for each event in the table using the model that was created by the createModelFromText operator, which learns how to predict labels from a text.
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Example
Input
table = github_logs
id | title | description |
|---|---|---|
1 | a, b | h, i |
1 | a, x | u, v |
LQL: "lettersToUser" is model name that was created from the example section of create model from text .
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predictLabelFromText(table,"scoreEmail", "title", "description") |
Output
id | title | description | lhub_predicted_label |
|---|---|---|---|
1 | a, b | h, i | spam |
1 | a, x | u, v | ham |