Skip to main content

A collection of utilities for the eva project.

Project description

evakit

Quick Access

Dataset

Notebooks

  • Notebooks for experiments are located under notebooks.
  • Notebooks for visualization and presentation are located under references.

Conda / Mamba Environment Setup

# To firstly install the environment
conda env create -f environment.yml

To update the environment after updating environment.yml

BEST PRACTICE, RECOMMENDED when updating a conda environment

conda env update -f environment.yml --prune

Sandbox

The sandbox is a practice in teamwork collaboration. Everyone works with the project should have a sub-folder named by their id under it, and any scripts, doc, or data that are temporary should be placed there.


Project based on the cookiecutter machine learning template .

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

evakit-0.2.0.tar.gz (28.5 kB view details)

Uploaded Source

Built Distribution

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

evakit-0.2.0-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file evakit-0.2.0.tar.gz.

File metadata

  • Download URL: evakit-0.2.0.tar.gz
  • Upload date:
  • Size: 28.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for evakit-0.2.0.tar.gz
Algorithm Hash digest
SHA256 7888e7d17078ffe58a27da1a6750bc2627583d001b943c36aa6ccf09bb3c646d
MD5 6d2efb1525ad06090293635c4dec8ecc
BLAKE2b-256 bd377a5f3dc0225bee84d7ab0517fa8e1a5e85e6b63b1f929ed6f6a388200059

See more details on using hashes here.

Provenance

The following attestation bundles were made for evakit-0.2.0.tar.gz:

Publisher: release.yml on garywei944/evakit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file evakit-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: evakit-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 16.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for evakit-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a7d2a9233fe883b23d6ccae02e5cfde6688e4e9c67582f37173fdffaf9f5f4f5
MD5 37db0949de450a04090c55273ec62803
BLAKE2b-256 34240ae407711762db88751a1f6fd33e50fac07e2bed94785039a1750cc3c932

See more details on using hashes here.

Provenance

The following attestation bundles were made for evakit-0.2.0-py3-none-any.whl:

Publisher: release.yml on garywei944/evakit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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