Hypster Docs
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  • 👋Welcome
  • Getting Started
    • 🖥️Installation
    • 🚀Defining of A Config Function
    • ⚡Instantiating a Config Function
    • 🍡Selecting Output Variables
    • 🎮Interactive Instantiation (UI)
    • 🪄Usage Examples
      • Machine Learning
      • LLM Generation
  • In Depth
    • 🤖Parameter Naming
    • 🍱HP Call Types
      • Selectable Types
      • Numeric Types
      • Boolean Types
      • Textual Types
      • Nested Configurations
    • 🧠Best Practices
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On this page
  • Verification
  • System Requirements
  • Troubleshooting

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  1. Getting Started

Installation

PreviousWelcomeNextDefining of A Config Function

Last updated 6 months ago

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Hypster is a lightweight package, mainly dependent on Pydantic for type-checking.

pip install hypster

Dependencies:

Hypster comes with an interactive Jupyter Notebook UI to make instantiation as easy as

pip install hypster[jupyter]

Dependencies:

Interested in contributing to Hypster? Go ahead and install the full development suite using:

pip install hypster[dev]

Verification

After installation, you can verify your setup by running:

import hypster
print(hypster.__version__)

System Requirements

  • Python 3.10 or higher

  • Optional: Jupyter Notebook/Lab for interactive features

Troubleshooting

If you encounter any installation issues:

  1. Ensure your pip is up to date:

pip install -U pip
  1. Ensure hypster is up to date

pip install -U hypster
  1. For Jupyter-related issues, make sure Jupyter is properly installed:

# For JupyterLab
pip install -U jupyterlab

# Or 'classic' Jupyter Notebook
pip install -U notebook

If you're still having problems, please on our GitHub repository.

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