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Getting started

  • Introduction

Tutorials

  • Registration & installation
  • Available tracks
  • Tabular tutorial
    • Uploading your first model and dataset
    • Creating a project and running the report
    • Tagging and suggested tags
    • Filtering by data distribution
    • Exploring explainability
    • Creating your first test
    • What-if analysis
  • NLP tutorial
    • Uploading your first model and dataset
    • Creating a project and running the report
    • Tagging and suggested tags
    • Filtering by data distribution
    • Exploring explainability
    • Creating your first test
    • What-if analysis

How-to guides

  • Explainability
    • How to switch explainability techniques
    • How to compare the explainability scores of different samples
  • Testing
    • How to create and run confidence tests
    • How to create and run adversarial tests
    • How to create and run invariance tests

API Reference

  • Python API reference
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Available tracks

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The best way to learn is by doing.

This tutorial will guide you through a series of steps that introduce you to the most important concepts on Unbox.

Let’s get started!

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It's your turn!

Please, choose a track to follow. For now, the available tracks are:

  • Predicting user churn (tabular data)
  • Exploring a banking chatbot (natural language processing - NLP)

Updated 3 months ago

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