<｜begin▁of▁sentence｜>### Instruction:
Given two arrays y_true and y_pred representing the ground truth labels and the predicted labels for a set of samples, how can you use the remap_labels function from graspologic.utils to match the predicted labels as closely as possible to the ground truth?
### Response:
import numpy as np
from graspologic.utils import remap_labels

# Ground truth and predicted labels
y_true = np.array([0, 0, 1, 1, 2, 2])
y_pred = np.array([2, 2, 1, 1, 0, 0])

# Remap predicted labels to best match the ground truth labels
remapped_y_pred, label_map = remap_labels(y_true, y_pred, return_map=True)

# Print the remapped labels and the mapping
codeprint('Remapped labels:', remapped_y_pred)
print('Label mapping:', label_map)
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