Keras与tensorflow 版本对应关系 python 3.7 环境下以及怎么建立模型保存预测
归一化
def data_guiyihua(data):
scaler =MinMaxScaler(feature_range=(0, 1))#指定参数的范围 进行归一化
data_guiyihua=np.array(data) # 不进行归一化
data_guiyihua_2 = data_guiyihua.reshape((data_guiyihua.shape[0], 1,data_guiyihua.shape[1]))
return data_guiyihua_2
#训练集
x_train = data_guiyihua(x_train)
print(x_train.shape)
# 验证集
x_test= data_guiyihua(x_test)
print(x_test.shape)
#测试集
ceshi= data_guiyihua(ceshi)
print(ceshi.shape)