Generates stratified test-train splits for multi-label data.
Example use:
# Import stratified_train_test_split
import sys
sys.path.append('/absolute/path/to/multilabel_stratify')
from stratify import stratified_train_test_split
# Example Data
X = [1,2,3,4,5,6,7,8,9,10]
y = [
['prime', 'odd'],
['even', 'favourite'],
['prime', 'odd'],
['even'],
['prime', 'odd'],
['even'],
['prime', 'odd'],
['even'],
['odd'],
['even']
]
# Get the splits
X_train, X_test, y_train, y_test = stratified_train_test_split(
X,
y,
target_test_size=0.2,
random_state=42)
