minor

peak_signal_to_noise_ratio.py

@@ -1,4 +1,4 @@
-"""Accuracy metric."""
+"""Peak Signal-to-Noise Ratio metric."""
 
 import datasets
 import numpy as np
@@ -21,7 +21,7 @@ Args:
     references (`list` of `np.array`): Ground truth labels.
     sample_weight (`list` of `float`): Sample weights Defaults to None.
 Returns:
-    psnr (`float`):Peak Signal-to-Noise Ratio. The SSIM values are positive. Typical
+    psnr (`float`): Peak Signal-to-Noise Ratio. The SSIM values are positive. Typical
     values for the PSNR in lossy image and video compression are between 30 and 50 dB,
     provided the bit depth is 8 bits, where higher is better. 
 Examples: