import pyLHD
random_lhd = pyLHD.LatinHypercube(size = (10,3))
pyLHD.MaxAbsCor(random_lhd)0.15151515151515146criteria.MaxAbsCor
criteria.MaxAbsCor(arr)
Calculate the Maximum Absolute Correlation
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
arr |
numpy.numpy.ArrayLike | A numpy ndarray | required |
Returns
| Type | Description |
|---|---|
| float | Positive number indicating maximum absolute correlation. Rounded to 3 digits |
Notes
References for the implementation of the maximum absolute correlation
- Georgiou, Stelios D. “Orthogonal Latin hypercube designs from generalized orthogonal designs.” Journal of Statistical Planning and Inference 139.4 (2009): 1530-1540.