<｜begin▁of▁sentence｜>### Instruction:
A data scientist has two datasets of vectors, X and Y, with the same dimensions but potentially mismatching signs along the dimensions. The scientist wishes to use the SignFlips method from graspologic to align the signs of the vectors in X with those in Y, employing the 'median' criterion for each dimension. How can they achieve the sign alignment and what does the aligned X dataset look like after the transformation?
### Response:
import numpy as np
from graspologic.align import SignFlips

# Datasets with mismatching signs
X = np.array([[1, -2], [-3, 4]])
Y = np.array([[2, 2], [3, 3]])

# Initialize the SignFlips with criterion 'median'
sf = SignFlips(criterion='median')

# Align X to the same orthant as Y
X_prime = sf.fit_transform(X, Y)

# Output the aligned dataset
print('Aligned X dataset:')
print(X_prime)
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