Welcome to the Documentation of DARPA ACTM Project: MIT, Brown, PNNL

darpa-actm is a Python Library, which will generate the bias correction, based on Neural Operators and LSTM, for E3SM climate model. Check out the Usage section for further information, including how to Installation the project.

Note

This project is under active development.

Contents

Usage

Installation

To use Lumache, first install it using pip:

(.venv) $ pip install lumache

Creating recipes

To retrieve a list of random ingredients, you can use the lumache.get_random_ingredients() function:

The kind parameter should be either "meat", "fish", or "veggies". Otherwise, lumache.get_random_ingredients() will raise an exception.

For example:

>>> import lumache
>>> lumache.get_random_ingredients()
['shells', 'gorgonzola', 'parsley']

API