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Build and manage real-life data science projects with ease.
machine-learning data-science productivity model-management ai ml ml-platform ml-infrastructure python
Python Jupyter Notebook Shell
  1. Python 97.6%
  2. Jupyter Notebook 2.2%
  3. Shell 0.2%
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@savingoyal
savingoyal Set namespace to None in example notebook (#215) 
* Set namespace to None in example notebook

Setting namespace to None. A common scenario is where the user
copies to contents of the notebook into a sagemaker notebook and executes
the code snippets. That would fail, because the sagemaker notebook runs
with user:ec2-user. Setting the namespace to None allows us to bypass this
issue and provide a better user experience.
Latest commit 76e2f01 Jun 8, 2020

Files

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Type Name Latest commit message Commit time
Failed to load latest commit information.
.github/workflows Trigger release on `published` (#199) Apr 30, 2020
metaflow Set namespace to None in example notebook (#215) Jun 8, 2020
test Disable LargeArtifactTest on GitHub CI (#212) Jun 5, 2020
.gitignore Initial commit for Open Source release Dec 3, 2019
CONTRIBUTING.md Rearrange contributing guide Dec 19, 2019
LICENSE Update LICENSE with copyright year and owner. (#210) Jun 4, 2020
MANIFEST.in Include LICENSE.txt in sdist and wheel Dec 4, 2019
README.md Initial commit for Open Source release Dec 3, 2019
metaflow-complete.sh Initial commit for Open Source release Dec 3, 2019
setup.cfg Include LICENSE.txt in sdist and wheel Dec 4, 2019
setup.py Bump metaflow version to 2.0.5 in preparation for release (#198) Apr 30, 2020
test_runner Initial commit for Open Source release Dec 3, 2019
tox.ini Initial commit for Open Source release Dec 3, 2019

README.md

Metaflow

Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

For more information, see Metaflow's website.

Getting Started

Getting up and running with Metaflow is easy. Install metaflow from pypi:

pip install metaflow

and access tutorials by typing:

metaflow

Get in Touch

There are several ways to get in touch with us:

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