kxy 1.2.3

A Powerful Serverless Pre-Learning and Post-Learning Analysis Toolkit

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KXY: A Seemless API to 10x The Productivity of Machine Learning Engineers

Documentation

https://www.kxy.ai/reference/

Installation

From PyPi:

pip install kxy

From GitHub:

git clone https://github.com/kxytechnologies/kxy-python.git & cd ./kxy-python & pip install .

Authentication

All heavy-duty computations are run on our serverless infrastructure and require an API key. To configure the package with your API key, run

kxy configure

and follow the instructions. To get an API key you need an account; you can sign up for a free trial here. You'll then be automatically given an API key which you can find here.

KXY is free for academic use.

Docker

The Docker image kxytechnologies/kxy has been built for your convenience, and comes with anaconda, auto-sklearn, and the kxy package.

To start a Jupyter Notebook server from a sandboxed Docker environment, run

docker run -i -t -p 5555:8888 kxytechnologies/kxy:latest /bin/bash -c "kxy configure <YOUR API KEY> && /opt/conda/bin/jupyter notebook --notebook-dir=/opt/notebooks --ip='*' --port=8888 --no-browser --allow-root --NotebookApp.token=''"

where you should replace <YOUR API KEY> with your API key and navigate to http://localhost:5555 in your browser. This docker environment comes with all examples available on the documentation website.

To start a Jupyter Notebook server from an existing directory of notebooks, run

docker run -i -t --mount src=</path/to/your/local/dir>,target=/opt/notebooks,type=bind -p 5555:8888 kxytechnologies/kxy:latest /bin/bash -c "kxy configure <YOUR API KEY> && /opt/conda/bin/jupyter notebook --notebook-dir=/opt/notebooks --ip='*' --port=8888 --no-browser --allow-root --NotebookApp.token=''"

where you should replace </path/to/your/local/dir> with the path to your local notebook folder and navigate to http://localhost:5555 in your browser.

Other Programming Language

We plan to release friendly API client in more programming language.

In the meantime, you can directly issue requests to our RESTFul API using your favorite programming language.