Datalab guides

This page contains a list of guides for using Datalab.

Note

This package has additional dependencies that are not required for the core cleanlab package. To install them, run:

$ pip install "cleanlab[datalab]"

For the developmental version of the package, install from source:

$ pip install "git+https://github.com/cleanlab/cleanlab.git#egg=cleanlab[datalab]"

Types of issues

These guides are for users who want to use Datalab with greater control, selecting what issues to search for and what nondefault settings to use for detecting them.

• Datalab Issue Types
  • Types of issues Datalab can detect
    • Estimates for Each Issue Type
    • Label Issue
    • Outlier Issue
    • (Near) Duplicate Issue
    • Non-IID Issue
  • Optional Issue Parameters
    • Label Issue Parameters
    • Outlier Issue Parameters
    • Duplicate Issue Parameters
    • Non-IID Issue Parameters

Customizing issue types

These guides are for developers to create a custom issue type that Datalab can audit for together with the built-in issue types it already detects.

• Creating Your Own Issues Manager
  • Prerequisites
  • Implementing IssueManagers
    • Basic Issue Check
    • Intermediate Issue Check
    • Advanced Issue Check
  • Use with Datalab