For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
This page is for version 3.0.0 (Latest) (default).
For other versions, use one of these documentation indexes:
- 3.0.0 (Latest) (default): https://docs.nvidia.com/nim/financial-fraud-training/3.0.0/llms.txt
- 2.0.0: https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/llms.txt
- 1.0.0: https://docs.nvidia.com/nim/financial-fraud-training/1.0.0/llms.txt
Multi-node multi-GPU (MNMG) pipeline — training now requires torchrun and the new gpu: multi / gpu: single config field. Legacy non-torchrun entrypoints are no longer supported, while single-GPU runs remain supported with gpu: single (or NPROC=1).
New config schema — the YAML/JSON config format has changed substantially. The FullConfig schema now groups all settings under paths and models[].hyperparameters.gnn / models[].hyperparameters.xgb. Old flat configs are not compatible and must be migrated.
Triton server version — the serving container is now nvcr.io/nvidia/tritonserver:26.04-py3. Artifacts generated by earlier training containers are not compatible with this server version.
kind: GNN_XGBoost_NP — Node Prediction is now a first-class kind option in the config rather than a separate container entrypoint.
Mask file placement — train/val/test mask files are now placed in edges/ (EP) or nodes/ (NP). The previous location is no longer supported.
Edge filename parser — the src/rel/dst parsing now always takes the first token as src and the last token as dst. Multi-token node type names (e.g., credit_card) in edge filenames are no longer supported.
