What is the translation of " INPUT VARIABLE " in Chinese?

• 输入变量

Examples of using Input variable in English and their translations into Chinese

Feature: input variable used in making predictions.
特性:用于预测的输入变量。

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯被称为朴素，因为它假设每个输入变量是独立的。

Feature: input variable used in making predictions.
特征：进行预测时使用的输入变量。

Naive Bayes is called naive because it assumes that each input variable is independent.
之所以称为朴素贝叶斯，是因为它假设每个输入变量是独立的。

If the input variable is a string like this"WEB the$url variable after the sanitizing will look like this:.
假如输入变量类似这样：”WEB$url变量应该是这样的：.

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯被称为朴素的原因，在于它假设每个输入变量是独立的。

If the input variable is a string like this"WEB the$url variable after the sanitizing will look like this:.
假如输入变量是一个类似这样的字符串：”WEB$url变量如下所示：.

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以是朴素的，是因为它假设每个输入变量是独立的。

If the input variable exists, sanitize(take away invalid characters) and store it in the$url variable..
如果存在此输入变量，对其进行净化（删除非法字符），并将其存储在$url变量中.

Naive Bayes is called naive because it assumes that each input variable is independent.
之所以被称作朴素贝叶斯，是因为我们假设每个输入变量都是独立的。

If the input variable is a string like this"WEB the$url variable after the sanitizing will look like this:.
假如输入变量是一个类似这样的字符串："WEB$url变量如下所示：WEB.

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以被称为朴素，是因为它假定每个输入的变量都是独立的。

With supervised learning, you have an input variable that consists of labeled training data and a desired output variable..
通过监督学习，您可以获得一个输入变量，该变量由标记的训练数据和所需的输出变量组成。

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以称为朴素贝叶斯，是因为它假定每个输入变量都是独立的。

Each input variable can take 20, 20, 20, 6, 6, and 50 distinct discrete values, respectively, giving a total design space of 14.4 million different combinations.
每个输入变量可以分别取20、20、20、6、6、50这些不同的离散值，共给出1440万种不同组合的设计空间。

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以被称为朴素贝叶斯，是因为它假定每个输入变量都是独立的。

Must be an associative array containing an input variable as an array key(like the"age" input variable)..
必须是一个关联数组，其中包含的输入变量是数组的键（比如"age"输入变量）.

Logistic regression is like linear regression in that the goal is to find the values for the coefficients that weight each input variable.
逻辑回归就像线性回归，因为它目标是找出每个输入变量的加权系数值。

However, both input and return types can be inferred and input variable names must be specified.
然而，输入和返回类型两者都可以自动推导，且输入变量名必须指明。

This missing value is not at random unless we have included“discomfort” as an input variable for all patients.
这个缺失值不是随机的，除非我们将“不适”作为所有患者的输入变量。

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以被称为“naive”，是因为它假设每个输入变量是独立的。

Naive Bayes is called naive because it assumes that each input variable is independent.
朴素贝叶斯之所以被称为「朴素」，是因为它假设每个输入变量相互之间是独立的。

Naive Bayes is called naive because it assumes that each input variable is independent.
贝叶斯定理朴素贝叶斯之所以被称为「朴素」，是因为它假设每个输入变量相互之间是独立的。