Calderdale accepts that this can cause regression in a student's learning process.
考尔德戴尔承认这会在学生的学习过程中引起退步。
Nightly kernel regression testing.
持续多日的内核回归测试。
运行回归测试。
Creating the regression model with weka.
用WEKA创建一个回归模型。
Number of existing regression test cases.
有多少个回归测试用例。
Creating a complete regression test script.
建立一个完整的回归测试脚本。
So go ahead and create the regression model.
继续并创建这个回归模型。
This also will provide for regression testing.
这还将为回归测试提供支持。
The regression test set on maintenance releases.
维护发布上的回归测试集。
Required number of regression test cycles per release
每个发布需要有多少个回归测试周期
You don't have to run regression tests for each story.
不必针对每个故事都运行回归测试。
This is all the same as we saw in the regression model.
这与我们在回归模型中看到的没有差别。
This tells WEKA that we want to build a regression model.
这会告诉WEKA我们想要构建一个回归模型。
Don't forget the benefits of performance regression testing.
不要忘记性能回归测试的好处。
If our regression tests are automated we could run them all.
如果回归测试可以自动化完成，我们就可以全部运行了。
The data were analysed using conditional logistic regression.
使用条件逻辑回归对数据进行分析。
In effect, regression models all fit the same general pattern.
实际上，所有回归模型均符合同一个通用模式。
You can use this tool to perform functional regression testing.
您可以使用这款工具，来执行功能性回归测试。
We have a regression test suite with over 10,000 Lines Of Code.
我们的回归测试套件的代码已经超过了10,000行。
Simple linear regression is also a versatile modeling technique.
简单线性回归还是一种多用途的建模技术。
Otherwise you'll be handcrafting your own regression test suites.
否则，就要手工制作自己的回归测试套件。
These three scripts will serve as the baseline for your regression.
这三个脚本将作为你的回归测试的基准。
Logistic regression models were used to compute adjusted odds ratios.
使用逻辑回归模型计算调整优势比。
Increased coverage of regression testing by use of automated testing.
使用自动化测试增加回归的覆盖率。
But if there are manual regression tests we will have to be selective.
要是有需要手工完成的回归测试，那我们就要有选择性了。
Figure 12: Illustration of regression-based technique for estimation.
图12：基于回归的评估技术。
This regression model is easy to use and can be used for myriad data sets.
这个回归模型很容易使用，并且可以用于很多数据集。
Analyses were adjusted for confounding variables using logistic regression.
使用逻辑回归调整了混杂变量分析。
Analyses were adjusted for confounding variables using logistic regression.
使用逻辑回归调整了混杂变量分析。
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