flowmatic-ett-nlinear-energy-forecaster

Forecast smart-city sensor values for core processing-unit routing and prediction.

Model summary

Field	Value
Architecture	nlinear_forecast
Dataset	hf_ett
Source checkpoint	q1_hf_ett_nlinear_energy_forecaster_seed7
Test metrics	{"test_loss": 0.48574386343805953, "test_mae": 0.6270451545715332, "test_rmse": 0.6969532370567322}

Files

• model.safetensors — primary weights
• model.torchscript.pt — TorchScript export (when present)
• metadata.json — schema, scaler, metrics
• model_card.md — training card

Usage in Flowmatic

Deploy in the Core Unit with model ID flowmatic-ett-nlinear-energy-forecaster (prefixed by your Hugging Face username in the UI).

Inference is routed through Flowmatic's model-inference service using your organization Hugging Face token.