Treffer: ktrain: A Low-Code Library for Augmented Machine Learning.

Title:
ktrain: A Low-Code Library for Augmented Machine Learning.
Authors:
Maiya, Arun S.1 AMAIYA@IDA.ORG
Source:
Journal of Machine Learning Research. 2022, Vol. 23, p1-6. 6p.
Database:
Academic Search Index

Weitere Informationen

We present ktrain, a low-code Python library that makes machine learning more accessible and easier to apply. As a wrapper to TensorFlow and many other libraries (e.g., transformers, scikit-learn, stellargraph), it is designed to make sophisticated, state-of-the-art machine learning models simple to build, train, inspect, and apply by both beginners and experienced practitioners. Featuring modules that support text data (e.g., text classification, sequence tagging, open-domain question-answering), vision data (e.g., image classification), graph data (e.g., node classification, link prediction), and tabular data, ktrain presents a simple unified interface enabling one to quickly solve a wide range of tasks in as little as three or four "commands" or lines of code. [ABSTRACT FROM AUTHOR]