Welcome to Incorta ML&Data Science Document!

Incorta Data preparation library is for simplifying the data preparation by processing the data which was earlier handled by writing a custom Spark MV program. Spark DataFrame are typical inputs to and the output from the Incorta Data Preparation API It pulls data from the Incorta and offers a simple and intuitive API.

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