cash-app-inc/air-traffic-2015-rlr
Air Traffic 2015 for Recent Link Regression Summary Name: air-traffic-2015-rlr Description: This dataset involves a transportation network domestic airports in US during 2015. Airports are represented as vertices and flights as edges. Each edge is associated with a timestamp (flight date) and a feature vector derived from weather conditions at the departure and arrival airports. Arrival delay normalized by flight duration serves as the edge target, reflecting the… See the full description on the dataset page: https://huggingface.co/datasets/cash-app-inc/air-traffic-2015-rlr.
| Author / organization | cash-app-inc |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 187 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 2 August 2024 |
| Last updated at source | 2 August 2024 |
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187 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Air Traffic 2015 for Recent Link Regression Summary Name: air-traffic-2015-rlr Description: This dataset involves a transportation network domestic airports in US during 2015. Airports are represented as vertices and flights as edges. Each → Air Traffic 2015 for Recent Link Regression Summary Name: air-traffic-2015-rlr Description: This dataset involves a transportation network domestic airports in US during 2015. Airports are represented as vertices and flights as edges. Each
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