flowmatic-ett-dlinear-energy-forecaster

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

Model summary

Field	Value
Architecture	dlinear_forecast
Dataset	hf_ett
Source checkpoint	q1_hf_ett_dlinear_energy_forecaster
Test metrics	{"test_loss": 0.023263964005362597, "test_mae": 0.11758840829133987, "test_rmse": 0.15252529084682465}

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-dlinear-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.