> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/financial-fraud-training/_mcp/server.

# 2.0.0

## Docs

- [Overview](https://docs.nvidia.com/nim/financial-fraud-training/overview.md)
- [Prerequisites](https://docs.nvidia.com/nim/financial-fraud-training/getting-started/prerequisites.md)
- [Run Training Using Financial Fraud Training](https://docs.nvidia.com/nim/financial-fraud-training/getting-started/cont-running.md)
- [Support Matrix](https://docs.nvidia.com/nim/financial-fraud-training/getting-started/support-matrix.md)
- [Heterogeneous GNN Data Format for Edge Prediction](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/data/data-def.md)
- [Financial Fraud Detection: Data preprocessing](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/preprocessing/preproc.md)
- [Write your training configuration](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/configuration/config-json.md)
- [Financial Fraud Training Output](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/produced-output/produced.md)
- [Passing Data to Triton Inference Server](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/triton/triton-input.md)
- [Full Dataset Preprocessing Pipeline for the Example Dataset](https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/supplemental/pipeline.md)
- [Release Notes](https://docs.nvidia.com/nim/financial-fraud-training/release-notes/llms.txt)