MOSAIC, acomparison framework for machine learning models

• URL: http://arxiv.org/abs/2301.12986v1
• Date: Mon, 30 Jan 2023 15:29:24 GMT
• Title: MOSAIC, acomparison framework for machine learning models
• Authors: Matt\'eo Papin and Yann Beaujeault-Taudi\`ere and Fr\'ed\'eric Magniette
• Abstract summary: MOSAIC is a Python program for machine learning models. It makes implementing and testing arbitrary network architectures simpler, faster and less error-prone.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce MOSAIC, a Python program for machine learning models. Our framework is developed with in mind accelerating machine learning studies through making implementing and testing arbitrary network architectures and data sets simpler, faster and less error-prone. MOSAIC features a full execution pipeline, from declaring the models, data and related hyperparameters within a simple configuration file, to the generation of ready-to-interpret figures and performance metrics. It also includes an advanced run management, stores the results within a database, and incorporates several run monitoring options. Through all these functionalities, the framework should provide a useful tool for researchers, engineers, and general practitioners of machine learning.

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