AML AI Datatests documentation

Introduction

This utility tests data for consistency and data integrity for the Google Anti Money Laundering AI API.

The AML AI has an input data model. This toolset is intended to test for a range of data integrity issues which can occur during both training and testing scenarios in both production and development.

It aims to:

• Validate the schema in which the data is being stored.

• Validate the data stored in the schema.

Get Started

• Installing
• Quickstart

User Guides

• Interpreting Schema Tests
• Data Sources
• Troubleshooting

Reference

• Backends
• Test List
• Configuration
• About