Bug Report for https://neetcode.io/problems/gradient-descent
Please describe the bug below and include any steps to reproduce the bug or screenshots if possible.
Albeit a very minor detail, the problem description and function signature do not appear to be consistent with Test Case 1.
For reference, Test Case 1 (same as Example 1):
Input:
iterations = 0, learning_rate = 0.01, init = 5
Output:
5
The problem description states:
Use Python's round() function to round the output to 5 decimal places.
The function signature is:
def get_minimizer(self, iterations: int, learning_rate: float, init: int) -> float
Granted there are no iterations occurring, and the initial value ought to remain unchanged, it seems like bad practice to have the function return an integer value, when the problem description and type hints indicate a float should be returned.
Bug Report for https://neetcode.io/problems/gradient-descent
Please describe the bug below and include any steps to reproduce the bug or screenshots if possible.
Albeit a very minor detail, the problem description and function signature do not appear to be consistent with Test Case 1.
For reference, Test Case 1 (same as Example 1):
The problem description states:
The function signature is:
Granted there are no iterations occurring, and the initial value ought to remain unchanged, it seems like bad practice to have the function return an integer value, when the problem description and type hints indicate a float should be returned.