defload_data(self, file_path):# Load data... class DataPreprocessor:def __init__(self, data):self.raw_data= dataself.cleaned_data = self.clean_data(data) def clean_data(self):# imputation, outlier treatment... def transform_data(self):# transformations and encode data... class Model...
def xlsx_to_txt(xlsx_file_path): # 加载工作簿 wb = load_workbook(xlsx_file_path) # 获取活动工作表 ws = wb.active # 构建对应的 txt 文件路径 txt_file_path = os.path.splitext(xlsx_file_path)[0] + '.txt' with open(txt_file_path, 'w', encoding='utf-8') as txt_file: # 遍历...
在基于PyTorch的Dataset类中编写_load_annotations函数时,我们需要关注几个核心步骤:确定函数的功能需求、加载和解析注解数据、存储解析后的数据、返回存储的数据结构,并在Dataset类中调用此函数。以下是对这些步骤的详细解答和代码示例: 1. 确定_load_annotations函数的功能需求 _load_annotations函数的主要任务是加载和解...
LOAD_CTX_OPTIONAL_INPUTS, LOAD_CTX_RETURN_TYPES, LOAD_CTX_RETURN_NAMES = _create_context_data(_load_ctx_inputs_list) def new_context(context, **kwargs): context = context if context is not None else None new_ctx = {} for key in _all_contextput_output_data: ...
python中操作文件,需要先使用pen()函数打开一个文件,创建一个file对象,相关的方法才可以调用它进行读写 fileobject=open("filename.txt",mode="r", encoding="utf-8") filename,可以用绝对路径和相对路径表示 encoding="utf-8",encoding表示编码集. 根据文件的实际保存编码进行获取数据 ...
Load Process CheckModelCompatibility GetModelIOTensorDim UnLoadModel SetModelPriority Cancel 模型编译类 BuildModel ReadBinaryProto(const string path) ReadBinaryProto(void* data, uint32_t size) InputMemBufferCreate(void* data, uint32_t size) InputMemBufferCreate(const string path) ...
tmp_id = len(self.char_to_id) self.char_to_id[char] = tmp_id self.id_to_char[tmp_id] = char def load_data(self, file_name='addition.txt', seed=1984): file_path = os.path.dirname(os.path.abspath('data.txt')) + '/' + file_name if not os.path.exists(file_path): prin...
如果启动时存在数据库,则应添加同步数据库的函数 import osimport pickle# Sync databaseif os.path.exists('data.pkl'): with open("data.pkl", "rb") as f: data_list = pickle.load(f)else: data_list = list()def Add(x): data_list.append(x) with open("data.pkl", "wb") as f: ...
if not data: return None try: return pickle.loads(data) except Exception: return "Failed to load task run error"def set_error_file(error_file: str, error: Union[str, Exception]) -> None: """Write error into error file by path""" with open(error_file, "wb") as fd:...
IFeatureClassLoad IFeatureClassManage IFeatureClassName IFeatureClassSpatialIndex IFeatureClassStorage IFeatureClassStorage2 IFeatureClassUtil IFeatureClassWrite IFeatureConnect IFeatureCursor IFeatureDataConverter IFeatureDataConverter2 IFeatureDataset IFeatureDatasetExtension IFeatureDatasetExtension2 IFeatureDatasetExten...