Explore AutoML SDK components
AutoML SDK is a WorkFusion-built Java framework for creating and customizing machine learning models. It is a powerful tool in addressing classification and information extraction use cases.
Capabilities
AutoML SDK enables you to accomplish the following tasks:
- Customize models by configuring AutoML SDK components, such as Annotators, Feature Extractors, and so on.
- Apply normalization and validation logic and correct OCR errors in terms of post-processing to improve model results.
- Run model training and publish improved model.
- View analytics and statistics on model results.
This toolset delivers a ready-to-use model as it proceeds through the components pipeline.

Components
AutoML SDK consists of the following components, each responsible for specific tasks in a pipeline:

- Parser removes HTML tags from documents and creates an AutoML SDK document.
- Annotators split a text into tokens, add boundary elements and NERs.
- Feature extractors analyze tokens in documents and create features.
- ML algorithms aggregate all field documents and feature extractors and provide a model and its statistics.
- Post-processing applies normalization logic and field grouping.