How to solve the #paddlets# problem?

#paddlets ran without error during training, but no procedure changed the code is the same as the running result is shown in the figure

import paddle
import paddlets
import pandas as pd
import matplotlib.pyplot as plt
from paddlets import TSDataset



dataset = pd.read_csv('./Table/773.csv')

# print(dataset)

# plt.plot(dataset)
# plt.savefig('./ExportImage/773.jpg')
# plt.show()

df = TSDataset.load_from_dataframe(
    dataset,
    time_col = 't',
    target_cols = ['bio-oil']
)

df.plot()
plt.savefig('./ExportImage/773_0.jpg')
plt.show()

#  数据分段split
train_dataset, val_test_dataset = df.split(0.7)
val_dataset, test_dataset = val_test_dataset.split(0.5)
train_dataset.plot(add_data=[val_dataset,test_dataset], labels=['Val', 'Test'])
plt.show()


from paddlets.models.forecasting import MLPRegressor
mlp = MLPRegressor(
    in_chunk_len = 7 * 24,
    out_chunk_len = 24,
    max_epochs=100
)


mlp.fit(train_dataset, val_dataset)



subset_test_pred_dataset = mlp.predict(val_dataset)
subset_test_pred_dataset.plot()
plt.show()