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Overview
This is a Transform type Snap that enables you to predict the target field for an unlabeled datasetthe target (label/class) field for an unlabeled document. An unlabeled dataset document is one that does not have a regression class field. So the So, the Snap reads this unlabeled dataset document and predicts the regression field, which is the target the target field. Predictions Predictions are made based on a regression model. You can build the regression model using the the regression model built by the Trainer (Regression) Snap.
Input and Output
Expected input: An unlabeled
datasetdocument and the regression model for predicting the
regression datatarget field.
Expected output: Predictions from the regression model based on the input
datasetdocument.
Expected upstream Snaps:
- First input view: Any Snap that generates an unlabeled
- document document is usable as an upstream Snap. For example,
- JSON Parser, JSON Generator,
- CSV Parser, CSV Generator,
- Mapper, and so on.
- Second input view: Any Snap that reads and outputs the regression model. For example, a combination of File Reader, and JSON Parser.
Expected downstream Snaps: CSV/JSON Formatter Snap and File Writer Snap can be used to write the output to file.
Prerequisites
The input
datasetdocument must be in tabular format (no nested structure).
This Snap automatically derives the schema (field names and types) from the first row. Therefore, the first row must not have any missing values.Configuring Accounts
Accounts are not used with this Snap.
Configuring Views
Input | This Snap has exactly two document input views. The first input view is for the unlabeled dataset that unlabeled document that requires prediction. The second input view is for the regression model to be used for the prediction. |
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| Output | This Snap has exactly one document output view. |
| Error | This Snap has at most one document error view. |
Troubleshooting
None.
Limitations and Known Issues
None.
Modes
- Ultra pipelines: Works in Ultra pipelines.
- Spark mode: Does not work in Spark mode.
Snap Settings
| Label | Required. The name for the Snap. Modify this to be more specific, especially if there are more than one of the same Snap in the pipeline. |
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Additional Resources
Snap History
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