[pre-commit.ci] auto fixes from pre-commit.com hooks

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Author: pre-commit-ci[bot]

neural_network/binary_crossentropy.py

@@ -14,18 +14,18 @@
 
 def binary_cross_entropy(y_true: np.ndarray, y_pred: np.ndarray) -> float:
     """
-             Implements the Binary Cross Entropy function.
-             Parameters:
-                 y_true: the array containing input of actual label output i.e 0 or 1
-                 y_pred: the array containing predicted output
-             return:
-             float: the output value of binary crossentropy
-
-             Mathematically, BCE = -(1/N)*Sum(y_i * log(p_i)+(1 - y_i) * log(1 - p_i))
-
-        Examples:
-        >>> binary_cross_entropy(np.array([1, 0, 1]), np.array([0.9, 0.2, 0.8]))
-        0.18388253942874858
+         Implements the Binary Cross Entropy function.
+         Parameters:
+             y_true: the array containing input of actual label output i.e 0 or 1
+             y_pred: the array containing predicted output
+         return:
+         float: the output value of binary crossentropy
+
+         Mathematically, BCE = -(1/N)*Sum(y_i * log(p_i)+(1 - y_i) * log(1 - p_i))
+
+    Examples:
+    >>> binary_cross_entropy(np.array([1, 0, 1]), np.array([0.9, 0.2, 0.8]))
+    0.18388253942874858
 
 
     """