ML Toolkit
This user guide is intended for analysts using SymetryML in their next data-mining project. While this document does not assume extensive background in data modeling, the reader should have a rudimentary understanding of data-mining methodology, as well as the necessary domain knowledge related to their field of application.
A brief introduction to data-mining concepts will be provided in this guide, along with instructions on applying these concepts to SymetryML workflow. The core intention of this document is to provide readers with a brief summary of the information needed to implement SymetryML successfully into their data-driven projects and to cover typical usage scenarios.
Related Documents
While this guide provides an introduction to data-mining concepts and general guidance on navigating the ML Toolkit, more specific guides dealing with sequence data and Federated Learning can be found here:
Document Conventions
This manual also uses the following typographic conventions.
| Conventions | |
|---|---|
| Convention | Description |
| Bold | Indicates text on a Web page, other than the page title, including menus, menu options, buttons, fields, and labels. |
| Italic or < > angled brackets | Indicates a variable, which is a placeholder for actual text provided by the user or system. Angled brackets (< >) are also used to indicate variables. |
screen/code | Indicates text that is displayed on screen or entered by the user. |
| [ ] square brackets | Indicates optional values. |
| { } braces | Indicates required or expected values. |
| | vertical bar | Indicates that you have a choice between two or more options or arguments. |