Navbat prognozi API Online
Navbat darajalarining ML ansamblli prognozi: ishonch chegaralari bilan 24 soatlik va 7 kunlik (168soat) gorizontlar. nakordoni.eu bashoratlarini quvvatlantiruvchi xuddi shu model.
GET https://nakordoni.eu/api/v1/data/forecast
— kvota sinfi: heavy
| Parametr | Tavsif |
|---|---|
ppid | Nazorat nuqtasi ID, masalan id_13 (qarang /api/v1/data/checkpoints) |
prediction_steps | 24 (standart) yoki 7 kunlik uchun 168 |
Javob maydonlari — javob konvertidagi data obyekti ichida. [] ro‘yxatni bildiradi, ya’ni data.items[].name har bir elementning name maydonidir. Qiymatimiz bo‘lmagan maydon null bo‘ladi, umuman bo‘lmaydi yoki bo‘sh ro‘yxat qaytadi — o‘rniga hech qachon soxta qiymat qo‘ymaymiz.
| Maydon | Tavsif |
|---|---|
data[] | One element per forecast step, nearest first — 24 or 168 of them. |
data[].time | Unix timestamp the step forecasts, with hours_from_now. |
data[].avg_cars | Predicted queue at that hour. |
data[].lower_bound | Confidence band around avg_cars, with upper_bound; the _50 pair is the narrower 50% band. |
data[].type_of_data | Provenance marker of the input reading the step was built from. |
data[].source | Which model produced the step, with formula and the corrected flag when a calibrator adjusted it. |
data[].learned_mult | Per-checkpoint learned multiplier applied, and weather_mult the weather one. |
data[].v4 | Full breakdown from the v4 ensemble — component scores behind avg_cars. |
curl "https://nakordoni.eu/api/v1/data/forecast?ppid=id_13&prediction_steps=24" \ -H "Authorization: Bearer NKD-DEV-XXXX-XXXX-XXXX"
🔑 Bu yakuniy nuqtani sinov maydonida jonli sinab koʻrish uchun dasturchi sifatida kiring — kuniga 50 ta bepul test chaqiruvi. Kirish