Introducing.

References

Architecture, Security, CLI, client library references and metadata specification.

This section contains the main reference material for day-to-day usage of Dotscience, including:

  • The Dotscience Python library
  • The Dotscience command line interface
  • Ways to interface with us: Dotscience modes, including GUI/SaaS, its built in JupyterLab, and command line
  • Ways to deploy models into production
  • How runs are described and recorded
  • Dotscience security features
  • System architecture
In this section.

Dotscience Python library

Track Python and IPython models in Dotscience

The ds command-line tool

Use Dotscience from the command line

Dotscience modes

We explore the different ways in which users can interact with Dotscience using the Dotscience Python Library and the Dotscience client

Ways to deploy models with Dotscience

We explore the different ways to deploy ML models into production with Dotscience

Run Metadata Format

Understand how Dotscience records run metadata

Dotscience Architecture

Dotscience components and their relationships

Security

Dotscience Security Features & Characteristics