Skip to main content

Heat flux estimation by regression calculation (HIBOU)

╭─┤HIBOU v.0.2.1├───────────────────────────────────┐
│  ___  ___  ___  ________  ________  ___  ___      │
│ |\  \|\  \|\  \|\   __  \|\   __  \|\  \|\  \     │
│ \ \  \_\  \ \  \ \  \|\ /\ \  \|\  \ \  \ \  \    │
│  \ \   __  \ \  \ \   __  \ \  \ \  \ \  \ \  \   │
│   \ \  \ \  \ \  \ \  \|\ /\ \  \_\  \ \  \_\  \  │
│    \ \__\ \__\ \__\ \_______\ \_______\ \_______\ │
│     \|__|\|__|\|__|\|_______|\|_______|\|_______| │
│                                                   │
│                     "\_  _/"                      │
│                    / _ "" _ \                     │
│                   / / \\// \ \                    │
│                   \ \_O||O_/ /                    │
│                   /\.. \/ ../\                    │
│                                                   │
└──┤Heat flux estImation By regressiOn calcUlation├─╯

⚠️ Warning This package is still under developement. You can report any issue using the bug tracker. Furthermore the user guide is not finished either.

Description

HIBOU (Heat flux estImation By regressiOn calcUlation) is a Python package that allows to train an artificial neural network with data from average weather station and eddy-covariance fluxes so that it can predict fluxes from average weather data.

Installation

The package is available from PyPi:

$ pip install hibou

You can install the package from sources with pip by running the following commands in a terminal:

$ git clone https://git.icare.univ-lille.fr/aeris-public/hibou
$ cd hibou
$ pip install -e .

The documentation is available online. Alternatively, you can also compile the documentation locally:

$ cd hibou/docs
$ pip install -r requirements.txt
$ make html

Then, you should open the file hibou/docs/build/html/index.html to open the compiled documentation in a web browser.

License

This project is licensed under the GNU Affero General Public Licence v3.0. For more information please see the LICENSE file

Download files

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

Source Distribution

hibou-0.2.1.tar.gz (38.4 kB view details)

Uploaded Source

Built Distribution

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

hibou-0.2.1-py3-none-any.whl (41.3 kB view details)

Uploaded Python 3

File details

Details for the file hibou-0.2.1.tar.gz.

File metadata

  • Download URL: hibou-0.2.1.tar.gz
  • Upload date:
  • Size: 38.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.3

File hashes

Hashes for hibou-0.2.1.tar.gz
Algorithm Hash digest
SHA256 a05347a1e2c94332a9ac661f7cc204c05ad4234e8262d4611b6c3904943d874c
MD5 25466f7af151734e5c86b31e95162d71
BLAKE2b-256 715738433b3083b9cd1886fd8b3aded93f212ff1f01fe5538267e8b12db4157b

See more details on using hashes here.

File details

Details for the file hibou-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: hibou-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 41.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.3

File hashes

Hashes for hibou-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 384d4871b0ff4cf2a0d8eea91cdac29a71fc5ff405e39ac2ce5d0b431def41e6
MD5 66eb253821cf658d05b9266a918e14bc
BLAKE2b-256 9d344003626e60426a7c650959ec3f7f6e3e21c5f0806cbb314e4b738b322eaa

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.2.1 This release

2 files

0.2.0

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page