有没有办法用火车python包创建一个图表来比较超参数和模型的准确性？

pip install trains

from trains import Task, Logger
import matplotlib.pyplot as plt

task = Task.init(project_name='Your Project', task_name='Your Task')
logger = Logger()

accuracy = 0.85
learning_rate = 0.001

logger.report_scalar("accuracy", "train", 1, step=1, value=accuracy)
logger.report_scalar("learning_rate", "hyperparameters", 1, value=learning_rate)

accuracies = [0.85, 0.87, 0.82]
learning_rates = [0.001, 0.01, 0.1]

plt.plot(learning_rates, accuracies, 'bo-')
plt.xlabel('Learning Rate')
plt.ylabel('Accuracy')
plt.title('Comparison of Learning Rates')
plt.grid(True)
plt.show()