Welcome to Imputr’s documentation!

Imputr is an open-source library that allows users to stably impute tabular data sets with ML-based and conventional techniques. It is designed to have an extremely simple, yet extensive API, making it possible for users of all levels and tasks to deploy the library in their workflows.

Check out the Usage section for further information, including how to install the project.

Note

This project is under active development.

Contents

• Usage
  • Installation
  • Using the AutoImputer
• Imputr concepts
  • Univariate vs Multivariate
  • Cyclical imputation
  • Imputation order
  • Missing at completely random
  • Missing at random
  • Missing not at random
• Examples
  • The simplest use
  • Specifying strategies
  • Specifying strategies with params
  • Specifying data type of column
• Core class structure
  • Strategy (class)
  • Imputer (class)
  • Column (class)
  • DataType (enum)
• Contribution jumpstart
  • Create awareness
  • Contribute to the codebase
  • Help the science team
  • Getting started
• API Reference
  • imputr