Intro

Clip Features to a Range

~8 mincode completion

Implement clip_features(X, low, high) that clips all values in X to the range [low, high].

Examples

Clip negatives and values above 10

Input
clip_features([-5, 0, 3, 7, 12], 0, 10)
Output
[0, 0, 3, 7, 10]

Float bounds

Input
clip_features([1.5, 2.5, 3.5], 2, 3)
Output
[2, 2.5, 3]

Clip large absolute values

Input
clip_features([100, 50, 0, -50, -100], -30, 30)
Output
[30, 30, 0, -30, -30]

Hints

Hint 1

bounds an array in one call.

Hint 2

Reach for clip rather than mask.

Requirements

  • X: NumPy array (any shape)

  • low: Minimum allowed value

  • high: Maximum allowed value

  • Return Array of same shape with values in [low, high].

Constraints

  • Allowed library: NumPy only

  • Time limit: 200 ms, Memory: 64 MB

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Where this shows up

~8 min

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Python
import numpy as np

def clip_features(X: np.ndarray, low: float, high: float) -> np.ndarray:
    """
    Clip all values in X to the range [low, high].

    Args:
        X:    NumPy array (any shape)
        low:  Minimum allowed value
        high: Maximum allowed value

    Returns:
        Array of same shape with values in [low, high].
    """
    # YOUR CODE HERE
    pass
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