OpenForecast

例句

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1.
The next step was to create the custom. NET assembly, AwRsLibrary, that will bridge the report embedded code and OpenForecast.
下一步是创建自定义的.NET程序集AwRsLibrary，它将跨接报表嵌入式代码和OpenForecast。
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2.
Then, it will call down to OpenForecast to get the forecasted values for the requested number of months.
然后，它将调用OpenForecast来获取所请求月份的预测值。
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3.
The added benefit to this approach is that the Open Source developers could maintain only one, Java-based version of OpenForecast.
这种方法附带的好处是，开放源码开发人员可以只维护一个基于Java的OpenForecast版本。
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4.
Toward the end of the file, you will see two CodeGroup XML elements that point to the AwRsLibrary and OpenForecast files.
在接近文件末尾的地方，您将看到两个CodeGroupXML元素，分别指向AwRsLibrary和OpenForecast文件。
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5.
AwRsLibrary will load the existing sales data into an OpenForecast dataset and obtain a forecasting model from OpenForecast.
AwRsLibrary会将现有的销售数据加载到一个OpenForecast数据集中，并从OpenForecast获得预测模型。
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6.
Step 1: First, we create a new OpenForecast dataset and load it with the existing data from the matrix row array.
步骤1：首先，我们创建一个新的OpenForecast数据集，并用来自矩阵行数组的现有数据加载它。
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7.
Let's now see how we can implement our forecasting example and integrate with OpenForecast by writing some embedded and external code.
现在，让我们看一下如何实现预测示例，并通过编写一些嵌入式代码和外部代码与OpenForecast集成。
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8.
Once we are done with both AwRsLibrary and OpenForecast. NET assemblies, we need to deploy them.
在我们完成了AwRsLibrary和OpenForecast两个.NET程序集之后，就需要部署它们。
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9.
Next, integrating with OpenForecast is a matter of five steps
接着，集成OpenForecast有五个步骤
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