ktrain: A Low-Code Library for Augmented Machine Learning

• URL: http://arxiv.org/abs/2004.10703v5
• Date: Tue, 5 Apr 2022 18:49:01 GMT
• Title: ktrain: A Low-Code Library for Augmented Machine Learning
• Authors: Arun S. Maiya
• Abstract summary: ktrain is a low-code Python library that makes machine learning more accessible and easier to apply. 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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