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SnShineSnShine
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impleemnts kNN classifier of learning module on MNIST data
this classifier of learning module is not optimized to run on this huge MNIST data
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‎images/knn_plot.png‎

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‎learning.ipynb‎

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‎learning.py‎

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@@ -31,6 +31,7 @@ def ms_error(predictions, targets):
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def mean_error(predictions, targets):
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return mean([abs(p - t) for p, t in zip(predictions, targets)])
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def manhattan_distance(predictions, targets):
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return sum([abs(p - t) for p, t in zip(predictions, targets)])
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