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facebookresearch / Context-Aware-Representation-Crop-Yield-Prediction

Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis

Summary


		Main Code: 5,795 LOC (87 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 131 LOC (3);
		Duplication: 41%
		File Size: 0% long (>1000 LOC), 74% short (<= 200 LOC)
		Unit Size: 10% long (>100 LOC), 29% short (<= 10 LOC)
		Conditional Complexity: 1% complex (McCabe index > 50), 37% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (14 components)
		Goals: Keep the system simple and easy to change (4)