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mloda Concepts

  • Table of Content
  • Intro to the core interfaces of mloda
  • What makes mloda unique?
  • Data, Feature, FeatureSets and FeatureGroups in mloda
  • Data Producer, User, Owner in mloda

Getting Started

  • Installation
  • mloda + scikit-learn Integration: Basic Example
  • API Request
  • Feature Groups
  • Compute Frameworks
  • Extender

In Depth - Basics

  • mloda API
  • (Feature) data
  • Join data
  • Filter data
  • Artifacts

In Depth - Advanced

  • Data quality
  • Domain concept
  • Data Access Patterns
  • Compute Frameworks
    • Framework Transformers
    • Compute Framework Integration
    • Framework Connection Object
  • Feature Groups
    • Feature Chain Parser
    • Feature Group Matching
    • Feature Group Testing
    • Feature Group Versioning
    • Multiple Result Columns

Development

  • Contributors
  • License - Apache 2.0
  • Missing

Need Help?

  • FAQ
  • Need Help
mloda docs
  • mloda Concepts
  • Table of Content

Table of content¶

  1. Intro to the core interfaces of mloda
    • Introduction to mloda's core interfaces and practical demonstration of its capabilities.
  2. What makes mloda unique?
    • Explanation of mloda's unique aspects, including data reusability and support for diverse technologies.
  3. What is data, Feature, FeatureSets and FeatureGroups in mloda
    • Detailed overview of key objects in mloda and their relationships.
  4. Roles in mloda
    • Exploration of the roles of Data Producers, Data Users, and Data Owners within mloda.

Prerequisite Setup for This Example¶


  1. Enable development mode by running the following command in your terminal:
export ML_DEV_MODE=1
  1. Install the required package in editable mode:
pip install -e .

Additionally, there is also an installation guide under getting started.

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