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steppy

(★ 136)

Lightweight, Python library for fast and reproducible experimentation :microscope:

파일 탐색기

최종 버전 다운로드 (.zip)

- - bug.md
  - everything-else.md
- - modules.rst
  - steppy.rst
- conf.py
- index.rst
- Makefile
- __init__.py
- adapter.py
- base.py
- utils.py
- __init__.py
- conftest.py
- steppy_test_utils.py
- test_adapter.py
- test_base.py
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING.md
DEFAULT_LOGIC.md
LICENSE
PULL_REQUEST_TEMPLATE.md
README.md
requirements.txt
setup.cfg
setup.py

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/minerva-ml/steppy

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd steppy

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. 공식 설치 스크립트

쉬움 추천

사전 준비물

Python 3 pip 명령어를 쓰려면 Python이 필요합니다.

pip3 install steppy

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

3. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip3 install steppy

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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# Steppy
[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/minerva-ml/steppy/blob/master/LICENSE)

### What is Steppy?
1. Steppy is a lightweight, open-source, Python 3 library for fast and reproducible experimentation.
1. Steppy lets data scientist focus on data science, not on software development issues.
1. 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:
1. Difficulties with reproducibility in data science / machine learning projects.
1. 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.
1. `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.
1. `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.
```bash
pip3 install steppy
```
_(you probably want to install it in your [virtualenv](https://virtualenv.pypa.io/en/stable))_

### Resources
1. :ledger: [Documentation](https://steppy.readthedocs.io/en/latest)
1. :computer: [Source](https://github.com/minerva-ml/steppy)
1. :name_badge: [Bugs reports](https://github.com/minerva-ml/steppy/issues)
1. :rocket: [Feature requests](https://github.com/minerva-ml/steppy/issues)
1. :star2: Tutorial notebooks ([their repository](https://github.com/minerva-ml/steppy-examples)):
    - :arrow_forward: [Getting started](https://github.com/minerva-ml/steppy-examples/blob/master/tutorials/1-getting-started.ipynb)
    -  :arrow_forward:[Steps with multiple inputs](https://github.com/minerva-ml/steppy-examples/blob/master/tutorials/2-multi-step.ipynb)
    - :arrow_forward: [Advanced adapters](https://github.com/minerva-ml/steppy-examples/blob/master/tutorials/3-adapter_advanced.ipynb)
    - :arrow_forward: [Caching and persistance](https://github.com/minerva-ml/steppy-examples/blob/master/tutorials/4-caching-persistence.ipynb)
    - :arrow_forward: [Steppy with Keras](https://github.com/minerva-ml/steppy-examples/blob/master/tutorials/5-steps-with-keras.ipynb)

### Feature Requests
Please send us your ideas on how to improve steppy library! We are looking for your comments here: [Feature requests](https://github.com/minerva-ml/steppy/issues).

### Roadmap
:fast_forward: At this point steppy is early-stage library heavily tested on multiple machine learning challenges ([data-science-bowl](https://github.com/minerva-ml/open-solution-data-science-bowl-2018 "Kaggle's data science bowl 2018"), [toxic-comment-classification-challenge](https://github.com/minerva-ml/open-solution-toxic-comments "Kaggle's Toxic Comment Classification Challenge"), [mapping-challenge](https://github.com/minerva-ml/open-solution-mapping-challenge "CrowdAI's Mapping Challenge")) and educational projects ([minerva-advanced-data-scientific-training](https://github.com/minerva-ml/minerva-training-materials "minerva.ml -> advanced data scientific training")).

:fast_forward: We are developing steppy towards practical tool for data scientists who can run their experiments easily and change their pipelines with just few manipulations in the code.

### Related projects
We are also building [steppy-toolkit](https://github.com/minerva-ml/steppy-toolkit "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](https://github.com/minerva-ml/steppy/blob/master/CONTRIBUTING.md) for more information.

### Terms of use
Steppy is [MIT-licensed](https://github.com/minerva-ml/steppy/blob/master/LICENSE).