#paddlets训练时运行没有报错 但是没有过程 换了别人的代码也一样 运行结果如图所示
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()