What is the translation of " THE LINEAR REGRESSION " in Chinese?

• 线性回归

Examples of using The linear regression in English and their translations into Chinese

We first set up the linear regression:.
我们先看下最原始的线性回归：.

The linear regression fit was good(R2= 0.9996).
线性回归适合是好的(R2=0.9996)。

We first set up the linear regression:.
我们先看下最原始的LinearRegression:.

The linear regression analysis requires all variables must have normal distribution.
线性回归要求所有变量必须符合正态分布.

The Assumptions of the Linear Regression Model.
线性回归模型的基本假设。

The linear regression analysis requires all variables must have normal distribution.
线性回归分析要求所有变量特征都必须具有正态分布.

This was our objective function for the linear regression.
这是我们线性回归的目标函数。

The last step in the linear regression model is to find out the RMSE.
线性回归模型的最后一步是找出RMSE。

The black solid line indicates the linear regression.
黑色实线表示模式间的线性回归。

The plot below shows how well the linear regression model fit the actual energy consumption of building.
下图显示了线性回归模型与建筑物实际能耗的吻合程度。

Study all classic ML concepts, starting with the linear regression.
学习所有经典的机器学习概念，从线性回归开始。

The simplest form of the linear regression model is also the linear function of the input variables.
最简单的线性回归模型形式也是输入变量的线性函数。

And then it can be easily generalized to formulate the linear regression:.
然后可以很容易地将其归纳为线性回归：.

The simplest form of the linear regression model is also the linear function of the input variables.
线性回归模型的最简单的形式也是输入变量的线性函数。

ANCOVA and regression share one particular model- the linear regression model.
ANCOVA和回归共享一个特定的模型-线性回归模型。

Returns the slope of the linear regression line through data points in known_y's and known_x's.
返回通过known_y's和known_x's中数据点的线性回归线的斜率。

If we have a label Y and features X1 through Xp, the linear regression model is of the form.
如果我们有一个标签Y和特征X1到Xp，线性回归模型是这样的。

The blue line is the linear regression of oil prices, and the red line is the linear regression of EUR/USD.
蓝线为石油价格的线性回归线，红线为EUR/USD的线性回归线。

Since the function we are looking for is a straight line, the linear regression fitting method is used.
因为我们寻找的功能是一条直线，一种线性回归拟合方法。

A key assumption required by the linear regression technique is that you have a linear relationship between the dependent variable and each independent variable.
线性回归技术要求的关键假设是，因变量和每个自变量之间有一个线性关系。

It also has the capability of minimizing the variability and enhancing the accuracy of the linear regression models.
此外，它能够减少变化性和提高线性回归模型的准确性。

It will return the slope of the linear regression line through the data points in known_y's and known_x's.
返回通过known_y's和known_x's中数据点的线性回归线的斜率。

Consider first the maximization with respect to α, which can be done by analogy with the linear regression case discussed in Section 3.5.2.
首先考虑关于进行最大化，这可以通过与3.5.2节讨论的线性回归的情形相类似的方法计算。

To build the Linear Regression model I will be demonstrating the use of two important Python libraries in the Machine Learning industry: Scikit-Learn and StatsModels.
为了建立线性回归模型，我要用到python里非常重要的两个机器学习相关的库：Scikit-Learn和StatsModels。

Ideally, if the data is observed with small amount of noise, the linear regression solution would recover the ground truth.
理想地，如果观测数据含有少量噪声，线性回归解决方案将会恢复真实模型。

It still has potential to decrease and converge toward the training curve, similar to the convergence we see in the linear regression case.
它还有继续降低，朝着训练学习曲线收敛的潜力，这和我们在线性回归模型的情况中看到的收敛是类似的。

As the basis of the combination forecasting model, the linear regression and Logistic regression model are established, respectively at first.
作为组合预测模型建立的基础，本文首先分别建立线性回归和Logistic回归模型。

These variants include the linear regression model, simple linear regression, logistic regression, nonlinear regression, nonparametric regression, robust regression, and stepwise regression..
这些变体包括线性回归模型，简单线性回归，逻辑回归，非线性回归，非参数回归，稳健回归和逐步回归。