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Compute the Root Mean Squared Log Error for hypothesis h and targets y
import numpy as np
def rmsle(h, y):
"""
Compute the Root Mean Squared Log Error for hypthesis h and targets y
Args:
h - numpy array containing predictions with shape (n_samples, n_targets)
y - numpy array containing targets with shape (n_samples, n_targets)
"""
return np.sqrt(np.square(np.log(h + 1) - np.log(y + 1)).mean())
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