Skip to main content

Cluster-based Flood Dynamics: Voronoi clustering + attention-based flood depth modeling

Project description

Cb_FloodDy

Cluster-based flood dynamics utilities and models.

Install (editable)

pip install -e .

Quick start

# Access submodules directly
from Cb_FloodDy import voronoi_clusters, model_training, model_prediction, bayesian_opt_tuning

# Example: generate Voronoi clusters (see voronoi_clusters module for data expectations)
# polygons = voronoi_clusters.generate_voronoi_clusters_and_empty_areas(station_coords, floodmap_union)

CLI

After installation:

cbf-train    # calls Cb_FloodDy.model_training.main()
cbf-predict  # calls Cb_FloodDy.model_prediction.main()
cbf-tune     # calls Cb_FloodDy.bayesian_opt_tuning.main()

Note: the underlying modules should define a main() function for these CLI commands.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Cb_FloodDy-0.1.0.tar.gz (65.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Cb_FloodDy-0.1.0-py3-none-any.whl (68.4 kB view details)

Uploaded Python 3

File details

Details for the file Cb_FloodDy-0.1.0.tar.gz.

File metadata

  • Download URL: Cb_FloodDy-0.1.0.tar.gz
  • Upload date:
  • Size: 65.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.9

File hashes

Hashes for Cb_FloodDy-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b47c4e90932c8f97a1236734b6ba15138306d56c0bf10063c389a036b1c02af5
MD5 4c42564547ad253d6bbd02ad684fd2e0
BLAKE2b-256 4b5e6a40e0be1c2745598f4bddc3b7a1d1e7724fdcf809f238a73574e8894e4e

See more details on using hashes here.

File details

Details for the file Cb_FloodDy-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: Cb_FloodDy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 68.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.9

File hashes

Hashes for Cb_FloodDy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b34dcd571f75228a3b7db60ade94318f01bf8cbcd01084fcb3408f66b592aa87
MD5 e726815d890f79546e04add460cdc22c
BLAKE2b-256 3a2909d2bc70779a48af8693a4a1934e282fbae868e195da4e372943724b9706

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page