Prediction inputs

Fixed-context runtime

This v1 model is trained for injector 800 at 30 C. The runtime uses rail pressure and injection duration as continuous inputs.

Rail pressure [bar] Injection duration [us]

Single-case CSV

Import one row

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Use a CSV with headers: pressure_bar,duration_us. The fixed injector and temperature are handled by the runtime.

Batch prediction

Condition CSV

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Batch rows may include case_id. If omitted, the app assigns one. Use pressure_bar,duration_us rows.

Backend API

Connect runtime

Backend URL

If the backend is hosted separately from this Cloudflare page, paste its base URL here.

Future extension

This version is fixed to injector 800 at 30 C. Geometry-aware inputs such as injector hole count, additional condition families, and later temperature variants are reserved for a later release.

Waveform inference

Predict ROI waveform from pressure and duration.

This release keeps the experiment context fixed: injector 800 at 30 C. Enter rail pressure and injection duration directly, and the runtime returns the full ROI waveform with summary metrics.

Prediction plot

ROI waveform

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Batch preview

Loaded rows

No batch loaded

case_id	pressure_bar	duration_us	status	action
Load a batch CSV to preview rows.

Batch results

Prediction summary

case_id	pressure_bar	duration_us	peak_roi	peak_time_us	roi_area_mg	status	view
No batch results yet.

Supported set

Predict ROI waveform from pressure and duration.

ROI waveform

Loaded rows

Prediction summary

Allowed ranges