A REGRESSION PROBLEM - 翻译成中文

[ə ri'greʃn 'prɒbləm]
[ə ri'greʃn 'prɒbləm]

在 英语 中使用 A regression problem 的示例及其翻译为 中文

{-}
  • Political category close
  • Ecclesiastic category close
  • Programming category close
This is a classification problem, not a regression problem.
这样的话,这就是一个分类问题而不是回归问题
And we can formulate this as a regression problem.
我们可以将问题解析为一个回归问题
It's can be posed as a classification, a regression problem.
它既可以是分类问题,亦可是回归问题
Regression: When predicting continuous values, the problems become a regression problem.
回归(Regression):当我们需要预测连续值时,就变成了回归问题
Regression: When predicting continuous values, the problems become a regression problem.
回归:当我们预测的值是一个连续值时,这个问题就变成了一个回归问题
As coordinates are continuous values, this is actually a regression problem.
由于回报率是连续变量,这就是回归问题
It is a regression problem which consists 515345 observations and 90 variables.
该数据集能帮你完成回归问题,它包括515345个观察值和90个变量。
Regression: When predicting continuous values, the problems become a regression problem.
回归:当预测连续值时,就是一个回归问题
Looks like this is a classification problem as opposed to a regression problem.
这样的话,这就是一个分类问题而不是回归问题
A regression problem has a real number(floating point) as its output.
回归问题有一个实数(带有小数点的数字)作为输出。
If y is a continuous/real number, then this will be a regression problem.
如果y是连续的值,就是回归问题
In some cases, it is possible to convert a regression problem to a classification problem..
且在一定情况下可以将回归问题转换成分类问题。
In some cases, a classification problem can be converted to a regression problem.
在一些情况中,分类是可以转换成回归题的
Here is a regression problem that you can try your hands on for a deeper understanding.
这里有一个回归问题,你可以尝试一下做一下,以加深理解。
When we need the output in a continuous range then it's called a regression problem.
当目标输出处于连续空间时,我们将其称为回归问题(regressionproblem)。
When the target variable to be predicted is continuous, we call the learning problem a regression problem.
当我们试图预测的目标变量是连续的,比如在我们的房屋例子中,我们叫该学习问题是一个回归问题
This is a supervised learning problem, known as a regression problem, because the outcome measurement is quantitative.
这是一个监督学习的问题,也称之为回归问题,因为结果测量是可量化的..
Categorize by output: If the output of the model is a number, it's a regression problem.
由输出数据分类:如果模型的输出是一个数值,这属于回归问题
So, for each of these problems, should they be treated as a classification problem or as a regression problem?
那这两个问题,它们属于分类问题、还是回归问题?
When our targets take on arbitrary real values in some range, we call this a regression problem.
当我们的目标是某个范围内的任意实数值时,这就是一个回归分析问题
结果: 272, 时间: 0.0326

单词翻译

顶级字典查询

英语 - 中文