Batch Prediction On New Data With Preprocessing Reuse And Output Formatting

A low-code framework for building custom AI models like LLMs and other deep neural networks. [#opensource](https://github.com/ludwig-ai/ludwig)

Unique: Automatically reuses the fitted preprocessor from training during inference, ensuring preprocessing consistency without requiring users to manually apply the same transformations, and handles batching and output formatting transparently

vs others: More convenient than manual preprocessing + model inference because preprocessing is automatic and consistent, yet less flexible than custom inference code because output formatting and preprocessing cannot be modified at inference time

via “batch prediction processing”

via “batch prediction processing”

via “batch prediction execution”

via “batch prediction execution”

via “intelligent pre-labeling with model predictions”

via “batch-prediction-processing”