Batch Prediction module¶
The Batch Prediction module allows you to generate batch predictions to use as an input dataset, as well as perform pre- and post- processing steps in a pipeline. For example, if you connect the output port of a Batch Prediction module to the input port of an AI Catalog Export module, the prediction results are exported as a dataset in the AI Catalog after running the pipeline.
In the Details tab, select the deployment you want to use to generate predictions, then use the provided options, which vary for non-time series and time series deployments, to finish configuring the Batch prediction module:
|Include input features||Writes input features to the prediction results output alongside predictions.
|Include prediction explanations||Add columns for prediction explanations to your prediction output. When enabled, you can define the number of prediction explanations generated, as well as the high and low prediction threshold.|
|Track data drift and accuracy for predictions||Tracks drift and accuracy for predictions generated in the pipeline.|
|Time Series prediction method|
|Select forecast point||Available if you select Forecast point as the prediction method:
|Select forecast range||Available if you select Forecast range as the prediction method: