Back-end components after component sharing - pycaret, an open source, low-code machine learning library in Python

Back-end components after component sharing - pycaret, an open source, low-code machine learning library in Python

background

Recently, we are exploring various common components and tools on the front-end, back-end, and system side, and reorganize some of the common components to form a standardized component topic, which will later include some commonly used components in various languages. Welcome everyone to continue to pay attention.

Component Basic Information

• Component: pycaret
• Open source agreement: MIT license
• Official website: www.pycaret.org

content

In this section we share an open source, low-code machine learning library pycaret in Python

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that exponentially speeds up experimentation cycles and increases your productivity.

Compared to other open source machine learning libraries, PyCaret is an alternative low-code library that can be used to replace hundreds of lines of code with only a few lines of code. This makes experiments exponentially fast and efficient. PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks, such as scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more.

PyCaret's design and simplicity are inspired by the emerging role of the citizen data scientist, a term first used by Gartner. Citizen data scientists are power users who can perform simple and moderately complex analytical tasks that previously required more technical expertise.

Install

The default installation of PyCaret only installs the hard dependencies listed in the requirements.txt file.

pip install pycaret

To install the full version:

pip install pycaret[full]

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For specific usage, please refer to the README

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Creative Commons License
This work is licensed by CN Hua Shao under the Creative Commons Attribution-Noncommercial 4.0 International License.