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-2.2.8rc0.tar.gz (53.6 kB view details)

Uploaded Source

File details

Details for the file datarisk_mlops_codex-2.2.8rc0.tar.gz.

File metadata

  • Download URL: datarisk_mlops_codex-2.2.8rc0.tar.gz
  • Upload date:
  • Size: 53.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for datarisk_mlops_codex-2.2.8rc0.tar.gz
Algorithm Hash digest
SHA256 6e1a85cca4174e693c36f056f219293d404970139500756ed5087e9240967f83
MD5 ce817f4881c6572d0feeec26dae8243a
BLAKE2b-256 118606385e87a1393c1b24f70d8d22db8533fac316f3435b78e5e2374fbf510f

See more details on using hashes here.

Provenance

The following attestation bundles were made for datarisk_mlops_codex-2.2.8rc0.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