当在高级编辑模式下查看模型时，数据输入和输出是可见的；在基本模式下则只能看到控制流。
Data inputs and outputs are visible when the model is viewed in advanced editing mode; in basic mode only the control flow is visible.
如果回归模型只能为特定输入提供一个数值输出，那么这两种模型则允许您对数据做不同的解析。
Where a regression model could only give you a numerical output with specific inputs, these additional models allow you to interpret your data differently.
当按下这个按钮时，它将读取ui字段的当前值并将其写入输出数据模型。
When pressed, it reads the current value of the UI field and writes it into the output data model.
这些输入和输出可以是纯控制流链接(类似于上一部分中的模型)，也可以是类似于图5所示的数据流链接。
The inputs and outputs can be pure control-flow links as in the models in the previous section, or can be data flow links as shown in Figure 5.
当你转换一个文本模板，控制逻辑结合了文本块与模型里的数据来生成一个输出文件。
When you transform a text template, the control logic combines the text blocks with the data in a model to produce an output file.
这两个模型允许输出更为灵活，是数据挖掘领域的两个功能更为强大的武器。
These two models allow us more flexibility with our output and can be more powerful weapons in our data mining Arsenal.
查询中的每个查询或子表达式的输入和输出都将形成Query数据模型的实例。
The input and output of every query or subexpression within a query each form an instance of the query data model.
ContentManager管理与安全性、配置、模型、指标、报告规范和报告输出相关的数据的储存。
Content Manager manages the storage of data related to security, configuration, models, metrics, report specifications, and report output.
此外，它还创建了另一个侦听程序侦听Set按钮，当单击该按钮时，将把ui字段的值发布给输出数据模型，如清单5所示。
In addition, it creates another listener to listen to the Set button, which, when clicked, publishes the value of the UI field to the output data model as shown in listing 5.
XQuery 1.0 [开发中]定义了数据模型中的值在XML、HTML和文本中是什么样子，如何在处理程序输出中替换XSLT 中的节。
XQuery 1.0 [in development] defines how data model values look in XML, HTML, and text, in effect replacing the XSLT section on processor output.
之后，只要我们有一个输出值未知的新的数据点，我们都可以将其放入这个模型并生成预期的输出。
Then, whenever we have a new data point, with an unknown output value, we put it through the model and produce our expected output.
我们了解了为了创建一个好的分类树模型，我们必须要有一个输出已知的现有数据集，从这个数据集才能构建我们的模型。
We learned that in order to create a good classification tree model, we need to have an existing data set with known output from which we can build our model.
就是拿一组输出值已知的数据集并使用此数据集来创建我们的模型。
This takes a data set with known output values and USES this data set to build our model.
因此，在控制器中，我们会访问模型，并获得所有创建完毕的模型，这样，所有视图所要做的就是输出某些数据。
So in the controller, we are going to be accessing the Model and getting it all set up so all the view has to do is spit out some data.
通常，流程会将接收的数据作为输入，将生成的数据作为输出，这与流程模型内部的活动类似。
Very often, processes receive data as inputs and produce data as outputs similar to activities inside the process model.
然而，数据挖掘不仅局限于简单的回归，在不同的数据集及不同的输出要求的情况下，您会发现其他的模型也许是更好的解决方案。
However, data mining is much more than simply regression, and you'll find some other models are better solutions with different data sets and different output goals.
为了减少复杂的数据流模型中出现的混乱，请显示未连接的数据输入和输出。
To reduce clutter in complex data flow models, show disconnected data inputs and outputs.
让我们把我们的数据通过回归模型进行处理并确保输出与我们使用WekaExplorer计算得到的输出相匹配。
Let's put our data through the regression model and make sure the output matches the output we computed using the Weka Explorer.
Web服务除需要传统的分布式和数据库事务模型所提供的行为之外，还需要有灵活的、可扩展的机制来对请求和输出结果进行控制。
Web services require a flexible and extensible mechanism for controlling requests and outcomes in addition to the behavior offered by traditional distributed and database transaction models.
结果表明：传感层反馈型BIT系统模型可以有效降低传感层输出数据的不确定性和虚警率。
The results show that the sensor level feedback BIT processing model can decrease the uncertainty of output data and FAR effectively.
在实际预测时，要对实时数据进行判别分类，选择对应的模型进行预测输出。
In actual forecasting, we must classify real-time data, choice the corresponding model to predict network output.
G2是用于评价用户说明的树状二级模型的一个软件平台。包括一个交互式的3d可视化工具来分析输出数据。
G2 is a software platform for evaluating user specified models of secondary growth in trees. An interactive 3d visualisation tool is included for analysis of output data.
建立基础数据处理、判别模型和录井图、成果图输出的原理和方法，从而形成了一套资料处理系统。
Fundation about basic data processing, discrimination models and logging diagrams, the principle and the method of drawing outputting. It is a structure of information processing system.
对实测数据补偿的结果证明，在不知道IFOG输出模型的情况下，自适应滤波可以对漂移起到较好的补偿效果。
After compensating actual measured data, the result shows that adaptive filter can suppress the IFOG drift when IFOG output model is unknown.
该模型通过确定标准对象，数据的标准化处理，网络自适应学习和评价结果输出等环节，可以有效地解决一类综合评价问题。
The model may solve a kind of problems of synthetic evaluation by determining standard objects, processing data normally, network adaptive learning and evaluation result output.
其基本环节有：模型表面空间坐标数据测量、数据预处理、重构曲面模型、数字模型输出。
Its basic step includes: data measure of model surface, points pretreatment, reconstruction surface model, and the digital model export.
经验建模，或叫综合建模，是一种通过寻找数学关系而建立模型的方法，这种数学关系应该能够与输入-输出观测数据相配合。
Experimental modeling, or modeling by synthesis, is the selection of mathematical relationship which seems to fit observed input-output data.
根据对象的输入输出采样数据，用数值计算方法分析热工对象模型的阶次。
Based on the sampled date of the system input and output, the paper presents a method for numerically analysing the system model order.
根据对象的输入输出采样数据，用数值计算方法分析热工对象模型的阶次。
Based on the sampled date of the system input and output, the paper presents a method for numerically analysing the system model order.
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