我使用以下脚本输出序列相关的结果:
serial = function(x,y,z){
for (i in 1:4 ) {
table_serial <- data.frame(i,
serial.test(VAR(cbind(x,y),p=i,type="const"),lags.pt=4, type=z)$serial$statistic[[1]],
serial.test(VAR(cbind(x,y),p=i,type="const"),lags.pt=4, type=z)$serial$p.value[[1]], digits=3))
colnames(output) <- c("Lag", "Chi", "p")
print(data.frame(serial))
}
}
lags.pt=4
是我测试的滞后数,因为数据是季度数据。功能
serial(data[1],data[2], "PT.asymptotic")
返回
Lag Chi p
1 1 41.46 0.581
Lag Chi p
1 2 50.032 0.133
Lag Chi p
1 3 40.097 0.293
Lag Chi p
1 4 40.582 0.142
有没有办法避免重新打印列标题和行? 我想要的输出:
Lag Chi p
1 41.46 0.581
2 50.032 0.133
3 40.097 0.293
4 40.582 0.142
感谢您的帮助!
答案 0 :(得分:1)
以下是您想要的。
# Defining network architecture
def build_model(layers):
model = Sequential()
model.add(LSTM(
input_dim=layers[0],
output_dim=layers[1],
return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(
layers[2],
return_sequences=False))
model.add(Dropout(0.2))
model.add(Dense(
output_dim=layers[3]))
model.add(Activation("sigmoid"))
start = time.time()
model.compile(loss="binary_crossentropy", optimizer="rmsprop",metrics=['accuracy'],class_mode="binary")
print("> Compilation Time : ", time.time() - start)
return model
# Compiling model
model = build_model([1, 100, 500, 1])