Skip to main content

Interactive application blending ParFlow execution and AI models for validation

Project description

Interactive application blending ParFlow execution and AI models for validation

  • Free software: BSD License

Installing

Build and install the Vue components

cd vue-components
npm i
npm run build
cd -

For the Python layer it is recommended to use conda to properly install the various ML packages.

macOS conda setup

brew install miniforge
conda init zsh

venv creation for AI

conda create --name sandtank-ml python=3.9
conda activate sandtank-ml
conda install "pytorch==1.9.1" -c pytorch
conda install scipy "scikit-learn==0.24.2" "scikit-image==0.18.3" -c conda-forge # For XAITK

# For development when inside repo
pip install -e .

# For testing (no need to clone repo)
pip install trame-sandtank-ml

# Build parflow for simulation execution
./dependencies/parflow/build.sh

Run the application

conda activate sandtank-ml
source ./dependencies/parflow/activate.sh
trame-sandtank-ml

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

trame-sandtank-ml-0.0.2.tar.gz (112.8 kB view details)

Uploaded Source

Built Distribution

trame_sandtank_ml-0.0.2-py2-none-any.whl (122.5 kB view details)

Uploaded Python 2

File details

Details for the file trame-sandtank-ml-0.0.2.tar.gz.

File metadata

  • Download URL: trame-sandtank-ml-0.0.2.tar.gz
  • Upload date:
  • Size: 112.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for trame-sandtank-ml-0.0.2.tar.gz
Algorithm Hash digest
SHA256 efb2b7d23ebe2110a1b9ad0d31ac620ace52c5ee60f4af0a8869132659557468
MD5 7f0f0e52fdfe9f55f1abc521f8a1a6d3
BLAKE2b-256 0a32769e3076c701356d2fdee7c46325210c9987be21e27122dc557d2dfd9a1b

See more details on using hashes here.

Provenance

File details

Details for the file trame_sandtank_ml-0.0.2-py2-none-any.whl.

File metadata

  • Download URL: trame_sandtank_ml-0.0.2-py2-none-any.whl
  • Upload date:
  • Size: 122.5 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for trame_sandtank_ml-0.0.2-py2-none-any.whl
Algorithm Hash digest
SHA256 f021a7ee0841375a751ba6d40e3bec52e681e9c5639f3fab79e4f7d0e7f1546a
MD5 4b86a2afe1e9433bee4d0291e23b6603
BLAKE2b-256 603727840df8e5a62470aac6dfc9b0c25c8d82b17e991600441a38f1dd6b5ec8

See more details on using hashes here.

Provenance

Supported by

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