Skip to main content

Python tools for interact with Datarisk MLOps platform

Project description

MLOps Codex

For the brazilian portuguese README, click here :brazil:.

About

Package for interacting with MLOps, a tool for deploying ML models.

Getting started

Install

  pip install datarisk-mlops-codex

How to use

Check the documentation page for more information.

There's also some example notebooks.

For developers

Install pipenv

  pip install pipenv

Install the package enviroment

  pipenv update --dev
  pipenv shell

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

datarisk_mlops_codex-2.2.7.tar.gz (46.7 kB view details)

Uploaded Source

File details

Details for the file datarisk_mlops_codex-2.2.7.tar.gz.

File metadata

  • Download URL: datarisk_mlops_codex-2.2.7.tar.gz
  • Upload date:
  • Size: 46.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for datarisk_mlops_codex-2.2.7.tar.gz
Algorithm Hash digest
SHA256 4c58c83fcef07705d42326ff2138eb50c728425fb5443c56174f572ad7aa9815
MD5 aa89bdec11e76d51814971259208ff9b
BLAKE2b-256 7eaebb2f993a55f4d155e2fd8f1914377d6b152484118ed7f3eb4b04dbbeed8e

See more details on using hashes here.

Provenance

The following attestation bundles were made for datarisk_mlops_codex-2.2.7.tar.gz:

Publisher: publish.yml on datarisk-io/mlops_codex

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