Welcome to Decanter AI Core SDK

Welcome to Decanter AI Core SDK’s documentation. Get started with Installation and then get an overview with the Quickstart. The Developer Interface section describes each component of Decanter AI Core SDK in detail.

Quick Start

This part of the documentation begins with some background information about Decanter AI Core SDK, then focuses on step-by-step instructions for getting the most out of Decanter AI Core.

• Introduction
  • Decanter AI Core SDK License
• Installation
  • Python Version
  • Dependencies
  • Virtual environments
  • Install Decanter AI Core SDK
• Quickstart
  • Python Script
  • Jupyter

The API Documentation / Guide

If you are looking for information on a specific function, class, or method, this part of the documentation is for you.

• Developer Interface
  • Main Interface
    • Connection and Funcional Settings
    • Client for Decanter Core API
    • Plot
    • Prompt Info
  • Jobs
    • Task
    • Jobs
  • Core Api Interface
    • Train Input
    • Setup Input
    • Predict Input
    • Model
  • Enum
    • Algorithms
    • Evaluators

Development Guide

Design notes, legal information and changelog are here for the interested.

• Design Notes
  • Background
  • Design Decisions
  • Design Overview
• How to do it asynchronously?
• Structure Flow Overview
• Changelog
• Contributing Guide
  • Reporting issues
  • Code Contributions
  • Documentation Contributions
  • Package Release
• Example
  • Upload, Setup, Train, Predict
  • How to Save Model