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-2.2.5.tar.gz (44.0 kB view details)

Uploaded Source

File details

Details for the file datarisk_mlops_codex-2.2.5.tar.gz.

File metadata

  • Download URL: datarisk_mlops_codex-2.2.5.tar.gz
  • Upload date:
  • Size: 44.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for datarisk_mlops_codex-2.2.5.tar.gz
Algorithm Hash digest
SHA256 9104bb374c6f892c5c9202ba5f971ceea46a1fbdbc570f07d4010e5964543350
MD5 4ff80dca9ea91966d78f18830f83771e
BLAKE2b-256 e8084cd3e4d032f9057cfd971083f76b24354f5d6a3bb1912836850dec2c1aee

See more details on using hashes here.

Provenance

The following attestation bundles were made for datarisk_mlops_codex-2.2.5.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