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RNSLE

By: beegie_b on Nov 8th, 2013  |  syntax: Python  |  size: 0.37 KB  |  views: 219  |  expires: Never
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  1. import numpy as np
  2.  
  3. def rmsle(h, y):
  4.     """
  5.    Compute the Root Mean Squared Log Error for hypthesis h and targets y
  6.    
  7.    Args:
  8.        h - numpy array containing predictions with shape (n_samples, n_targets)
  9.        y - numpy array containing targets with shape (n_samples, n_targets)
  10.    """
  11.     return np.sqrt(np.square(np.log(h + 1) - np.log(y + 1)).mean())
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