xplainable
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GETTING STARTED

  • About Xplainable
  • Installation

PYTHON API

  • Cloud Client
  • Classification – Binary
  • Classification – Multi-Class
  • Regression
  • Preprocessing
  • NLP

ADVANCED CONCEPTS

  • Partitioned Models
  • XEvolutionaryNetwork
  • Rapid Refitting
  • Custom Transformers
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Welcome to xplainable’s documentation!

GETTING STARTED

  • About Xplainable
    • Overview
    • Who is Xplainable For?
    • Skill Requirements
  • Installation
    • Quickstart
    • Optional dependencies
    • Environment

PYTHON API

  • Cloud Client
    • What is Xplainable Cloud?
    • What is the Cloud Client?
    • Initialising a session
    • Querying the API
  • Classification – Binary
    • Using the GUI
    • Using the Python API
    • Hyperparameter Optimisation
  • Classification – Multi-Class
    • Important!
    • Using the GUI
    • Using the Python API
  • Regression
    • Using the GUI
    • Using the Python API
  • Preprocessing
    • Using the GUI
    • Using the Python API
  • NLP

ADVANCED CONCEPTS

  • Partitioned Models
    • What are Partitioned Models?
    • Example
  • XEvolutionaryNetwork
    • Overview
    • What are Layers?
    • A Typical Network
    • Considerations
  • Rapid Refitting
    • Overview
    • What is Rapid Refitting?
    • What is Partial Fitting?
    • Single-Feature Refitting
    • The Effect of Alpha on Refitting
  • Custom Transformers
    • Example
    • Persisting Custom Transformers
    • Embedding Custom Transformers in GUI

Indices and tables

  • Index

  • Module Index

  • Search Page

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