The Inference component runs a trained model against the test features (Documentation Index
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X Test) and outputs a DataFrame of predictions. Connect its output to the Evaluation component to compute metrics.
Configuration
No configuration required. Inference automatically uses the model and test data connected to its input handles.Input / Output
| Type | |
|---|---|
| Input | Trained Model + X Test (from Train-Test Split) |
| Output | DataFrame of predictions (column: prediction) |
Notes
- The number of features in
X Testmust exactly match those used during training. If you apply preprocessing after the split, make sure the same steps are applied consistently. - For multi-output models, the output DataFrame will have columns
prediction_0,prediction_1, etc.