Predictor (Regression)
enables you to predict the target field for an unlabeled document.
Overview
Transform-type Snap
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Works in Ultra Pipelines
Predictor (Regression) enables you to predict the target field for an unlabeled document.
For this Snap, an unlabeled document is defined as one that does not have a label field. So, the Snap reads this unlabeled document and predicts the target field. Predictions are made based on the regression model built by the Trainer (Regression) Snap.

Prerequisites
- The data from upstream Snap must be in tabular format (no nested structure).
Limitations and known issues
None.
Snap views
View | Description | Examples of upstream and downstream Snaps |
---|---|---|
Input #1 | An unlabeled document that requires prediction(s). | Any Snap that generates an unlabeled document document. Examples: |
Input #2 | The regression model. | Any Snap that reads and outputs the regression model. Examples: A combination of File Reader and JSON Parser |
Output | Predictions from the regression model based on the input document. | Any Snap that uses the predicted result.
Examples:
|
Error |
Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab. The available options are:
Learn more about Error handling in Pipelines. |
Snap settings
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Suggestion icon (
): Indicates a list that is dynamically populated based on the configuration.
-
Expression icon (
): Indicates whether the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.
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Add icon (
): Indicates that you can add fields in the field set.
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Remove icon (
): Indicates that you can remove fields from the field set.
Field / Field set | Type | Description |
---|---|---|
Label | String | Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if there are more than one of the same Snap in the pipeline. |
Snap execution | Dropdown list | Select one of the three modes in which the Snap executes.
Available options are:
|
Troubleshooting
None.