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"hercules records the number of couples throught the whole commit history and outputs the two corresponding co-occurrence matrices. labours.py then trains Swivel embeddings - dense vectors which reflect the co-occurrence probability through the Euclidean distance." --> Changed throught to throughout.
hnarasaki 6 лет назад
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README.md

@@ -198,7 +198,7 @@ python3 labours.py -m couples -o <name> [--couples-tmp-dir=/tmp]
 **Important**: it requires Tensorflow to be installed, please follow [official instructions](https://www.tensorflow.org/install/).
 **Important**: it requires Tensorflow to be installed, please follow [official instructions](https://www.tensorflow.org/install/).
 
 
 The files are coupled if they are changed in the same commit. The developers are coupled if they
 The files are coupled if they are changed in the same commit. The developers are coupled if they
-change the same file. `hercules` records the number of couples throught the whole commit history
+change the same file. `hercules` records the number of couples throughout the whole commit history
 and outputs the two corresponding co-occurrence matrices. `labours.py` then trains
 and outputs the two corresponding co-occurrence matrices. `labours.py` then trains
 [Swivel embeddings](https://github.com/src-d/tensorflow-swivel) - dense vectors which reflect the
 [Swivel embeddings](https://github.com/src-d/tensorflow-swivel) - dense vectors which reflect the
 co-occurrence probability through the Euclidean distance. The training requires a working
 co-occurrence probability through the Euclidean distance. The training requires a working