The Response Time Breakdown page allows you to set the type of data that you see during a run, the sampling rate for that data, and whether data is collected from all users or a representative sample.
页可以让您设置您要在运行时看到的数据类型、这些数据的样本率以及收集所有用户的数据还是特定用户的数据。
Args are the values to be updated in the semaphore set data structure through this IPC_SET (explained in the sample).
args是这个信号量集数据结构中要通过IPC_SET来更新的值(在这个例子中会有解释)。
The economists looked at a sample of mortgages in a huge data set that covers 60% of America's residential-mortgage market.
从涵盖了美国60%的住宅抵押市场庞大的数据库背景里，经济学家查看了一份抵押贷款案例。
If a full sample of data has been read, the current match state is created using the build_match_number subroutine, and the voice print with the best match is printed on stdout and set to be rendered.
如果已经读取了完整的数据样例，则使用build _ match_number子例程创建当前匹配状态，并且最佳匹配的声波纹将在stdout中输出并设置为可渲染。
Before you can try the room-booking workflow, you need to set up your PostgreSQL database and populate it with sample data, if you haven't done so already.
在您尝试客房预订工作流之前，您需要建立PostgreSQL数据库，然后填充样例数据，如果还没有这样做。
Here for the SAMPLE database, the keyword is set under the data source section.
对于SAMPLE数据库，这个关键字是在datasource区段中设置的。
You can drill down into any sample period that you want while you view the full set of data.
在查看完整的数据集时，您可以具体查看所需的任何采样期的数据。
Set up the LDAP server and import sample data.
设置LDAP服务器并导入示例数据。
Use the Create menu to create Processing, which allows you to choose the Get Random Sample function to set a percentage of the data you want to analyze.
使用Create菜单创建Processing，它允许您选择GetRandomSample功能设置您想分析的数据的百分比。
The GTFS format is a related set of comma-separated value (CSV) files. For example, Figure 4 shows some sample data for the agency, stops, and routes.
gtfs格式是一系列相关的逗号分隔值(CSV)文件。
Performance counter data is collected based on the counter sets, the mapping of the counter set to a specific computer, and the sample rate.
性能计数器数据是根据计数器集、计数器集到特定计算机的映射以及采样速率收集的数据。
The Percentage Sampling transformation creates a sample data set by selecting a percentage of the transformation input rows.
百分比抽样转换通过选择转换输入行的百分比来创建样本数据集。
After the essential pretreatment and reasonable choice of the logging data have been done, a correct sample set may be established by combining the logging data with geological parameters.
对测井资料进行必要的预处理和合理的取舍后，与地质参数结合，建立起正确的样本集。
So the synchronous parellel data can be gotten if the rising of sample clock is set at the middle of the stable time of all deserialized data.
同时发现各线路间传输延迟有半个周期的不一致，因此在接收端应把采样时钟上升沿调整在所有解出数据都稳定的时刻。
The principal component analysis in multivariate statistic analysis is a method of compressing the dimension of vector data by extracting principal typical components from sample data set.
多元统计分析的主成份分析方法是对多维矢量数据提取主要特征分量，以此达到压缩矢量维数的目的。
Adopted the data processing method of the normalization, choose the training sample of the neural network, the mathematical model of the consumer price index based on BP nerve network predicts set up.
采用归一化数据处理方法，选择神经网络的训练样本，建立基于BP神经网络的居民消费价格指数预测的数学模型。
By introducing the subtraction clustering algorithm, the sample data are classified and the local model parameters are identified off-line using the corresponding data set.
引入减法聚类算法对样本数据进行分类，用得到的分类数据对局部模型参数进行离线辨识。
Firstly, the finite element model (FEM) of the generator is established to obtain sample data set indicating performance parameters of the generator;
首先建立振动发电机的有限元模型，以获得表征电机性能参数的样本数据集；
The meaning of symbolic regression is that we are searching for a function that closely matches an unknown expression based on a finite set of sample data, in order to analyze and forecast data.
符号回归的含义是找出一个符号形式的数学公式，以指定的精度拟合相关变量的有限样本，以便于分析和预测。
And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machine self-learning.
然后根据对多维数据聚类的实验分析结果，通过对样本集的训练进行标识和机器自学习过程来判别异常检测矩阵。
When doing the empirical analysis with the Panel-Data model, it is crucial to set the form of model correctly, because the sample data includes the information of individual, time, and so on.
在运用面板数据模型进行实证分析时，由于使用的样本数据包含了个体、时间、指标三个方向上的信息，因此模型形式的设定非常关键。
That using the reduction attributes of rough set reduced some redundant attributes, improved the real time of data processing by support vector machine, and shorten the time for training sample.
利用粗糙集的属性约简性来约简掉一些冗余属性，提高了支持向量机进行数据处理的实时性，缩短了训练样本的时间。
Classification is an important sub-branch of data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample.
分类是数据挖掘的一个重要分支，分类能找出描述数据类或概念的模型(或函数)，以便能使用模型预测类标记未知的对象类。
Classification is an important sub-branch of data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample.
分类是数据挖掘的一个重要分支，分类能找出描述数据类或概念的模型(或函数)，以便能使用模型预测类标记未知的对象类。
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