Getting started with the Kili Python SDK
What is Kili?
Kili is a platform that empowers a data-centric approach to Machine Learning through quality training data creation. It provides collaborative data annotation tools and APIs that enable quick iterations between reliable dataset building and model training. More info about the product here.
If you are looking for the Kili product documentation, it is located here.
The Kili Python SDK
Kili Python SDK has been designed to perform complex project-related tasks by using the Python programming language. Using Kili Python SDK, you can write scripts for repetitive tasks and then integrate them in one machine learning or data science workflow. For people who are familiar with Python, it may be perfect middle ground between complex GraphQL queries and simple, but less flexible CLI one-liners.
You only need Python 3.7 or higher.
Install the Kili client with pip:
pip install kili
- Create and copy a Kili API key
- Add the
KILI_API_KEYvariable in your bash environment (or in the settings of your favorite IDE) by pasting the API key value that you copied earlier:
export KILI_API_KEY='<you api key value here>'
- Instantiate the Kili client:
from kili.client import Kili kili = Kili()
You can now begin to use the Kili Python SDK
You can also pass the API key as an argument of the
python kili = Kili(api_key='<you api key value here>')