paddlets

v1.1.0

PaddleTS (Paddle Time Series Tool), PaddlePaddle-based Time Series Modeling in Python For more information about how to use this package see README

Latest version published 1 year ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

47 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 444
Forks: 104
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package paddlets, we found that it has been starred 444 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Dec 30, 2022
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 14
Open PR: 0
Last Release: 1 year ago
Last Commit: 2 months ago

Further analysis of the maintenance status of paddlets based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for paddlets is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 30
Funding: No

With more than 10 contributors for the paddlets repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like paddlets is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7

Age: 2 years
Latest Release: 1 year ago
Dependencies: 16 Direct / 50 Total
Versions: 6
Maintainers: 1
Wheels: OS Independent

Readme

简体中文 | English

PaddleTS 是一个易用的深度时序建模的Python库，它基于飞桨深度学习框架PaddlePaddle，专注业界领先的深度模型，旨在为领域专家和行业用户提供可扩展的时序建模能力和便捷易用的用户体验。PaddleTS 的主要特性包括：

设计统一数据结构，实现对多样化时序数据的表达，支持单目标与多目标变量，支持多类型协变量
封装基础模型功能，如数据加载、回调设置、损失函数、训练过程控制等公共方法，帮助开发者在新模型开发过程中专注网络结构本身
内置业界领先的深度学习模型，包括NBEATS、NHiTS、LSTNet、TCN、Transformer、DeepAR、Informer等时序预测模型， TS2Vec、CoST等时序表征模型，以及 Autoencoder、VAE、AnomalyTransformer等时序异常检测模型
内置多样化的数据转换算子，支持数据处理与转换，包括缺失值填充、异常值处理、归一化、时间相关的协变量提取等
内置经典的数据分析算子，帮助开发者便捷实现数据探索，包括数据统计量信息及数据摘要等功能
自动模型调优AutoTS，支持多类型HPO(Hyper Parameter Optimization)算法，在多个模型和数据集上展现显著调优效果
第三方机器学习模型及数据转换模块自动集成，支持包括sklearn、pyod等第三方库的时序应用
支持在GPU设备上运行基于PaddlePaddle的时序模型
时序模型集成学习能力

关于 PaddleTS

具体来说，PaddleTS 时序库包含以下子模块：

模块	简述
paddlets.datasets	时序数据模块，统一的时序数据结构和预定义的数据处理方法
paddlets.autots	自动超参寻优
paddlets.transform	数据转换模块，提供数据预处理和特征工程相关能力
paddlets.models.forecasting	时序模型模块，基于飞桨深度学习框架PaddlePaddle的时序预测模型
paddlets.models.representation	时序模型模块，基于飞桨深度学习框架PaddlePaddle的时序表征模型
paddlets.models.anomaly	时序模型模块，基于飞桨深度学习框架PaddlePaddle的时序异常检测模型
paddlets.models.classify	时序模型模块，基于飞桨深度学习框架PaddlePaddle的时序分类模型
paddlets.pipeline	建模任务流模块，支持特征工程、模型训练、模型评估的任务流实现
paddlets.metrics	效果评估模块，提供多维度模型评估能力
paddlets.analysis	数据分析模块，提供高效的时序特色数据分析能力
paddlets.ensemble	时序集成学习模块，基于模型集成提供时序预测能力
paddlets.xai	时序模型可解释性模块
paddlets.utils	工具集模块，提供回测等基础功能

安装

前置条件

python >= 3.7
paddlepaddle >= 2.3

pip 安装 paddlets 命令如下：

pip install paddlets

更多安装方式请参考：环境安装

文档

社区

欢迎通过扫描下面的微信二维码加入PaddleTS开源社区，与PaddleTS维护者及社区成员随时进行技术讨论：

代码发布与贡献

我们非常感谢每一位代码贡献者。如果您发现任何Bug，请随时通过提交issue的方式告知我们。

如果您计划贡献涉及新功能、工具类函数、或者扩展PaddleTS的核心组件相关的代码，请您在提交代码之前先提交issue，并针对此次提交的功能与我们进行讨论。

如果在没有讨论的情况下直接发起的PR请求，可能会导致此次PR请求被拒绝。原因是对于您提交的PR涉及的模块，我们也许希望该模块朝着另一个不同的方向发展。

许可证

PaddleTS 使用Apache风格的许可证, 可参考 LICENSE 文件.

paddlets dependencies

chinese-calendar ipython jinja2 matplotlib more-itertools numpy pandas pyod python-docx pywavelets scikit-learn scipy seaborn shap statsmodels tqdm

FAQs

What is paddlets?

PaddleTS (Paddle Time Series Tool), PaddlePaddle-based Time Series Modeling in Python. Visit Snyk Advisor to see a full health score report for paddlets, including popularity, security, maintenance & community analysis.

Is paddlets popular?

The python package paddlets receives a total of 108 weekly downloads. As such, paddlets popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is paddlets well maintained?

We found indications that paddlets is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is paddlets safe to use?

While scanning the latest version of paddlets, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 5 May-2024, at 15:39 (UTC).

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