# SageMaker ML Lineage Tracking

## Overview

Creates and stores information about the steps of an ML workflow (MLOps)

## Features

* Create & Store your ML workflow
* Keep a running history of your model
* Tracking & auditing for compliance
* Auto or manually-created tracking entities

### Lineage tracking entities

* Trial component
  * processing job
  * training job
  * transform job
* Trial: a ***model*** composed of trial components.
* Experiment: a ***group of trial*** for given use case.
* Context: logical grouping of entities.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://mamawhocode.gitbook.io/aws/services/ml/sagemaker/sagemaker-ml-lineage-tracking.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
