import pyLHD
random_lhd = pyLHD.LatinHypercube(size = (5,5))
pyLHD.coverage(random_lhd)0.15249858486808412criteria.coverage
criteria.coverage(arr)
Compute the coverage measure for a design
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
arr |
numpy.numpy.ArrayLike | A numpy ndarray | required |
Raises: ValueError: Whenever number of rows is less than number of columns
Returns
| Type | Description |
|---|---|
| float | Coverage measure |
Examples: