#初始化顺序模型
from keras.models import Sequential # 正确导入Sequential类
from keras.layers import Dense
data = np.array(data)
model = Sequential() # 初始化Sequential模型实例
from tcn import TCN # 正确导入TCN类
model.add(TCN(...))
# 定义线性的输出层
model.add(Dense(64, input_dim=100))
# 模型编译:定义优化算法adam, 目标函数均方根MSE
model.compile(optimizer='adam', loss='mean_squared_error')
# 模型训练
model.fit(X_train, Y_train, epochs=365, batch_size=292, validation_split=0.001)
# 打印模型
model.summary()
