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Oct 1st, 2019
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Python 0.21 KB | None | 0 0
  1. import numpy as np
  2.  
  3. # note that preds[0] and preds[2] are ALREADY normalized
  4. preds = np.array([[.90,.05,.05], [.50,.89,.60], [.05,.01,.94]])
  5.  
  6. for pred in preds:
  7.     print(pred / pred.sum(axis=-1, keepdims=True))
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