点击任意一个选项,就能进去https://ids.clld.org/contributions/288 ,命名格式固定,除了最后的3位数的数字。点击红框中的下载按钮, 选中tab-separated values,只有这一个按钮是下载字典内容的 点击进去之后 选择另存会自动给定编号保存分享至 投诉或建议评论...
Dataset类主要是用于原始数据的读取或者基本的数据处理(比如在NLP任务中常常需要把文字转化为对应字典ids,这个步骤就可以放在Dataset中执行)。DataLoader,是进一步对Dataset的处理,Dataset得到的数据集你可以理解为是个"列表"(可以根据index取出某个特定位置的数据),而DataLoder就是把这个数据集(Dataset)根据你设定的batch_...
The Maple-IDS dataset is a network intrusion detection evaluation dataset designed to enhance the performance and reliability of anomaly-based Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). As cyber attacks become increasingly sophisticated, having a reliable and up-to-date d...
DatasetIds Property Reference Feedback Definition Namespace: Android.Service.Autofill Assembly: Mono.Android.dll Gets the ids of the datasets selected by the user, in the order in which they were selected. C# 複製 public System.Collections.Generic.IList<string>? DatasetIds { [Android.Run...
join( img_prefix, data_info['img_path']) return data_info # 必须支持的方法,需要返回样本的类别 def get_cat_ids(self, idx): data_info = self.get_data_info(idx) return [int(data_info['img_label'])] pipeline = [ LoadImage(), ParseImage(), ] toy_dataset = ToyDataset( data_root=...
ADFA数据集官方介绍及下载地址:https://www.unsw.adfa.edu.au/australian-centre-for-cyber-security/cybersecurity/ADFA-IDS-Datasets/ 下面对其中的ADFA-LD数据集进行介绍。 00×2 ADFA-LD ADFA-LD数据集下载地址 2.1 主机配置信息 操作系统:Ubuntu Linuxversion 11.04 ...
console.log(ids.dataset) } /* * 这里通过ref的方式来获取,出现一点点小问题 * 正常给一个 dom 元素绑定 ref ,我们通过this.$refs可以正常拿到dom元素;给组件绑定ref,我们可以通过this.$refs去调用组件的方法等等 * 但是这里,ref 和 v-for 一起使用的时候却一直拿不到,打印发现拿到是个数组,第一项才是我...
which -g is a list of GPU ids. Every step, the current loss, learning rate and others values get logged to Tensorboard. See all saved metrics and parameters by opening a command line (this will open a webpage at localhost:6006): tensorboard --logdir=<workdir>Test...
Department ID, Parent Department ID, and Department Name are three tree-building fields. In actual operation, the Department ID and Department Name fields must correspond with each other. There cannot be duplicate Department IDs. 2. ClickPreview.Then you cansee the data as shown in the following...
train_ids = set([str(d.split('/')[2]) for d in json.load(f)]) # '928c86eabc0be624c2bf2dcc31ba1713' 这是第一个值with open(os.path.join(self.root, 'train_test_split', 'shuffled_val_file_list.json'), 'r') as f:val_ids = set([str(d.split('/')[2]) for d in ...