Steppy
What is Steppy?
- Steppy is a lightweight, open-source, Python 3 library for fast and reproducible experimentation.
- Steppy lets data scientist focus on data science, not on software development issues.
- Steppy's minimal interface does not impose constraints, however, enables clean machine learning pipeline design.
What problem steppy solves?
Problems
In the course of the project, data scientist faces two problems:
- Difficulties with reproducibility in data science / machine learning projects.
- Lack of the ability to prepare or extend experiments quickly.
Solution
Steppy address both problems by introducing two simple abstractions: Step
and Tranformer
. We consider it minimal interface for building machine learning pipelines.
-
Step
is a wrapper over the transformer and handles multiple aspects of the execution of the pipeline, such as saving intermediate results (if needed), checkpointing the model during training and much more. -
Tranformer
in turn, is purely computational, data scientist-defined piece that takes an input data and produces some output data. Typical Transformers are neural network, machine learning algorithms and pre- or post-processing routines.
Start using steppy
Installation
Steppy requires python3.5
or above.
pip3 install steppy
(you probably want to install it in your virtualenv)
Resources
-
📒 Documentation -
💻 Source -
📛 Bugs reports -
🚀 Feature requests -
🌟 Tutorial notebooks (their repository):
Feature Requests
Please send us your ideas on how to improve steppy library! We are looking for your comments here: Feature requests.
Roadmap
Related projects
We are also building steppy-toolkit, a collection of high quality implementations of the top deep learning architectures -> all of them with the same, intuitive interface.
Contributing
You are welcome to contribute to the Steppy library. Please check CONTRIBUTING for more information.
Terms of use
Steppy is MIT-licensed.