Predictor (Regression)
Overview
This is a Transform type Snap that enables you to predict the target field for an unlabeled document. An unlabeled document is 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.
Transform-type Snap-
Works in Ultra Tasks
Prerequisites
- The data from upstream Snap must be in tabular format (no nested structure).
Limitations and known issues
None.
Snap views
| Type | Description | Examples of upstream and downstream Snaps |
|---|---|---|
| Input | This Snap has at most two input views. Any Snap that generates an unlabeled document. Any Snap that reads and outputs the classification model. | JSON Parser |
| Output | This Snap has at least one and at most one document output views. | File Reader |
| Learn more about Error handling. | ||
Snap settings
Legend:
- Expression icon (
): Allows using
JavaScript syntax to access SnapLogic Expressions to set field values dynamically (if
enabled). If disabled, you can provide a static value. Learn more. - SnapGPT (
): Generates SnapLogic Expressions
based on natural language using SnapGPT. Learn
more. - Suggestion icon (
): Populates a
list of values dynamically based on your Snap configuration. You can select only one
attribute at a time using the icon. Type into the field if it supports a comma-separated
list of values. - Upload
: Uploads files. Learn more.
| Field/Field set | Type | Description |
|---|---|---|
| Label | String |
Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if more than one of the same Snaps is in the pipeline. Default value: Predictor Regression Example: Regression model |
| Snap execution | Dropdown list | Choose one of the three modes in which the Snap executes. Available options
are:
|