Skip to main content

Category encoders integrated with Fast.ai

Project description

fastai-category-encoders

Get Started

Install as a Python package

pip install git+https://github.com/kireygroup/fastai-category-encoders

Prerequisites

To run this project you need to install Docker or Nvidia-Docker.

Build the image

An utility script can be found in bin/build.sh:

./bin/build.sh

Run the image

If you want to use Docker (on CPU):

./bin/run-cpu.sh

If you want to run the container using Nvidia-Docker:

./bin/run-cuda.sh

Note: if you plan on using Nvidia-Docker, you should use one of the images available on the Nvidia Container Repository.

The container will start a new Jupyter Notebook server on port 8888.

Note that the fastai_category_encoders folder will be mounted inside the container, so any change you make to the source files or notebooks will be replicated on both systems.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastai_category_encoders-0.0.4.tar.gz (11.2 kB view hashes)

Uploaded Source

Built Distribution

fastai_category_encoders-0.0.4-py3-none-any.whl (16.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page