aws-samples / amazon-lookout-for-equipment-python-sdk
The Amazon Lookout for Equipment Python SDK is an open-source library that allows you to easily build, train and deploy anomaly detection models for industrial time series data using Amazon Lookout for Equipment
Summary
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| Main Code: 1,702 LOC (8 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 668 LOC (4); |
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| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 14% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 37% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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4 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-12-07
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