如果你需要在函数外部访问它,你需要将其作为函数的返回值,或者将其定义为全局变量(但通常不推荐这样做,因为它可能导致代码难以理解和维护)。 以上步骤应该能帮助你解决NameError: name 'x_train' is not defined的问题。如果问题仍然存在,请检查你的代码逻辑,确保x_train在使用前已经被正确定义和赋值。
1. 检查代码中是否有定义`train_loader`这个变量的语句。如果没有,您需要先定义这个变量,可以使用`torch.utils.data.DataLoader`类来创建一个数据加载器。2. 如果有定义语句,检查是否在使用`train_loader`之前对其进行了初始化。如果没有,您需要在使用前对其进行初始化,可以使用`train_loader = Data...
from sklearn.model_selection import train_test_split 有了这个导入语句,我们就可以在代码中直接调用train_test_split函数了。接下来,我将详细解释一下train_test_split函数的工作原理以及如何正确使用它。 首先,train_test_split函数接收两个参数:特征矩阵X和目标向量y。它的主要功能是将这两个数据集划分为两部分:...
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) #split into training and testing set 80/20 ratio NameError: name 'train_test_split' is not defined Unsure of how to proceed, any direction or input would be much appreciated. Thank you, ...
NameError: name 'train_predict' is not defined Collaborator from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_predict X_train_cv, X_test_cv, y_train_cv, y_test_cv = train_test_split(X_train, y_train, test_size = 0.3, random_state=100) ...
首页 Paddle框架 帖子详情 NameError: name 'transform_train' is not defined,这个问题怎么解决 收藏 快速回复 Paddle框架 问答模型训练深度学习 68 1 项目 数据集 课程 比赛 模型库 活动 更多 论坛 访问飞桨官网 登录 NameError: name 'transform_train' is not defined,这个问题怎么解决 ...
X名称空间里面的成员(如X:Name,X:Class)都是写给XAML编译器看的、用来引导XAML代码将XAML代码编译为CLR...
setTrainingConfigs setTrainingDataParams initGradientParams calcGradient updateParams train Hardware Functions in ``xf::data_analytics::classification`` Hardware Functions in xf::data_analytics::classification decisionTreePredict axiVarColToStreams naiveBayesTrain naiveBayesPredict svmPredict...
expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-...
I am trying to optimize the architecture of a simple network with hyperas... The code for the get_model function: def get_model_for_optim(x_train, y_train, x_test, y_test): n_layers = {{choice([1, 2, 4, 8])}} layer_width = {{choice([100,...