from Train import Train

I'm sorry, as an AI language model, I don't have access to external files or classes such as Train. Can you provide me with more information or context so I can better understand what you require?

相关问题

Traceback (most recent call last): File "/home/sx/下载/k210-master/train.py", line 58, in <module> sys.exit(main()) File "/home/sx/下载/k210-master/train.py", line 42, in main from train import Train, TrainType File "/home/sx/下载/k210-master/train/__init__.py", line 14, in <module> from classifier import Classifier File "/home/sx/下载/k210-master/train/classifier/__init__.py", line 23, in <module> from sklearn.metrics import confusion_matrix ModuleNotFoundError: No module named 'sklearn'

这个错误提示表明你的代码中缺少了`sklearn`模块。`sklearn`是一个非常常用的机器学习库，你需要先安装它才能在代码中使用。

你可以通过在命令行中运行以下命令来安装`sklearn`：

pip install scikit-learn

安装完成后，你应该能够成功运行你的代码。如果还有其他问题，请随时提问。

mport socket from collections import OrderedDict import numpy as np import tensorflow as tf import utils.io.image import utils.io.landmark import utils.io.text import utils.np_image import utils.sitk_image import utils.sitk_np from dataset import Dataset from datasets.pyro_dataset import PyroClientDataset from network import Unet from spine_localization_postprocessing import bb, bb_iou from tensorflow.keras.mixed_precision import experimental as mixed_precision from tensorflow_train_v2.dataset.dataset_iterator import DatasetIterator from tensorflow_train_v2.train_loop import MainLoopBase from tensorflow_train_v2.utils.data_format import get_batch_channel_image_size from tensorflow_train_v2.utils.loss_metric_logger import LossMetricLogger from tensorflow_train_v2.utils.output_folder_handler import OutputFolderHandler from tqdm import tqdm

这段代码看起来是一个Python脚本，导入了一些需要的模块和库，包括socket、collections、numpy、tensorflow等。它还引用了一些自定义的模块和类，如utils.io、dataset、network等。代码中还使用了一些函数和类，如Unet、bb、bb_iou等。最后还使用了tqdm库来显示进度条。这段代码似乎是与图像处理、数据集处理和训练相关的。请问你有什么具体的问题或需要进一步的解释吗？