Skip to main content

A professional-grade AI utility for automated data synchronization and backend management.

Project description

Installation

To install requirements: python -m pip install requirements.txt

To save requirements: python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt

  • Note we use Python 3.9.4 for our experiments

Running the code

For remaining experiments:

Navigate to the corresponding directory, then execute: python run.py -m with the corresponding config.yaml file (which stores experiment configs).

License

Consult License.md

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

mt_metrics_eval-0.0.1.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

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

mt_metrics_eval-0.0.1-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file mt_metrics_eval-0.0.1.tar.gz.

File metadata

  • Download URL: mt_metrics_eval-0.0.1.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for mt_metrics_eval-0.0.1.tar.gz
Algorithm Hash digest
SHA256 c460c3dc8f88b2528eca6c2e799fdda37066479fe8bc5b776c637401640e1d09
MD5 90b55643b3a2c3504b6c8ae4924bdf2c
BLAKE2b-256 ec28576c2b6dc343e24d3fbb56052d19765791605b7b536622b341985690add6

See more details on using hashes here.

File details

Details for the file mt_metrics_eval-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for mt_metrics_eval-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 62cb223bbc8e126f1165b20e5281535c497a809f4adffd24568f25dfe4914df5
MD5 77c414c87430ead49dd95d9c2fdc24b2
BLAKE2b-256 d680f331b0661e38ed3b795603ea451ea4d33a8f77e04c862f56e87d9e5995cc

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