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google / nitroml

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

Summary


		Main Code: 3,700 LOC (53 files) = PY (100%) Secondary code: Test: 3,376 LOC (22); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 1,659 LOC (21);
		Duplication: 5%
		File Size: 0% long (>1000 LOC), 84% short (<= 200 LOC)
		Unit Size: 0% long (>100 LOC), 55% short (<= 10 LOC)
		Conditional Complexity: 0% complex (McCabe index > 50), 70% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (11 components)
		1 year, 8 months old 95% of code older than 365 days 55% of code not updated in the past 365 days
		0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits.
		Goals: Keep the system simple and easy to change (4)

Commits Trend

Latest commit date: 2021-03-10

commits
(30 days)

contributors
(30 days)

Commits	24	238
Contributors	4	7
	2021	2020

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