NameError: name 'labelencoder' is not defined 错误,这里有几个可能的解决方案和检查点: 检查代码中是否导入了LabelEncoder: 错误提示表明 labelencoder 未被定义。首先,确认你是否已经正确导入了 LabelEncoder 类。在 Python 中,类名通常是大小写敏感的,因此你需要确保导入的类名与你在代码中使用的类名一致。正确...
labels_keep = [labels[index] for index in idx] *** NameError: name 'labels' is not defined Breaking outside the function: 3 labels = ['keep','other','keep2','other'] 4 idx = np.array([0,2]) 25--> 5 labels_keep = [labels[index] for index in idx] 6 print(labels_keep)...
b=classify0([0,0],group,labels,3)它可是在 classify0函数体之外啊。
b=classify0([0,0],group,labels,3)它可是在 classify0函数体之外啊。
https://huggingface.co/docs/diffusers/training/lora#dreambooth The code is used from here with almost no changes Logs NameError: name'false'is not defined. Did you mean:'False'?Traceback (most recent call last): File"/usr/local/bin/accelerate", line 8,in<module>sys.exit(main()) ...
, feed_dict={x:data.test.images,y_:data.test.labels}))) 44 path=saver.save(---> 45 sess,os.path.join(os.path.dirname(__file__),'data','regression.ckpt'), 46 write_meta_graph=False,write_state=False) 47 print('Saved:',path) NameError: name '__file__' is not defined...
NameError: name '__file__' is not definedNameError Traceback (most recent call last)<ipython-input-4-f4786694efdb> in <module> 43 print((sess.run(accuracy, feed_dict={x:data.test.images,y_:data.test.labels}))) 44 path=saver.save(---> 45 sess,os.path.join(os.path.dirname(__...
clf仅在feature_importance方法范围内定义。的值clf不会存储在此方法之外的任何地方，因此一旦您离开该方法...
NameError:name'mnist'isnotdefined 当然mnist数据集不能直接使用,需要通过input_data模块进行初始化,所以要首先引入input_data模块,网上很多解决办法都是重新下载input_data模块,不过lz认为有些麻烦,毕竟这是TF自带模块,所以只需运行下面的这段代码: fromtensorflow.examples.tutorials.mnistimportinput_data ...
(self, logits, labels): print(f"logits.shape: {logits.shape}, labels.shape: {labels.shape}") return F.nll_loss(logits, labels) def contrastive_loss(self, z1, z2, label, margin=1.0): euclidean_distance = F.pairwise_distance(z1, z2) loss_contrastive = torch.mean((1 - label) *...