A LINEAR MODEL - 翻译成中文

• 线性模型

在 英语 中使用 A linear model 的示例及其翻译为 中文

The(sometimes surprising) observation is that this is still a linear model: to see this, imagine creating a new variable.
观察到这还是一个线性模型（这有时候是令人惊讶的）:看到这个，想象创造一个新的变量.

To create a linear model for control system design from a nonlinear Simulink model, see Simulink Control Design.
要从非线性Simulink模型创建控制系统设计的线性模型，请参见Simulink控制设计。

First, let us define a linear model as some function of X that equals Y with some error.
首先，定义一个线性模型，它是X的某个函数Y，但有一些误差。

The(sometimes surprising) observation is that this is still a linear model: to see this, imagine creating a new variable.
这有时候是令人惊讶的）观察，这还是stillalinearmodel:看到这个，想象创造一个新的变量.

Estimator module also provides an estimator class that lets you jointly train a linear model and a deep neural network.
EstimatorAPI提供了一个estimator类，来让你做关于一个linearmodel和deepNNmodel的jointlytraining。

As the original oil resources are not replenished during this lifecycle, the water bottle example is a linear model.
由于在这一生命周期中，原始的石油资源没有得到补充，水瓶的例子是一个线性模型。

Logistic regression, despite its name, is a linear model for classification rather than regression.
Logisticregression(逻辑回归)，尽管它的名字是回归，是一个用于分类的线性模型而不是用于回归。

Many-- even scientists-- assume a linear model, so they will say,"Oh, it will be hundreds of years before we have self-replicating nano-technology assembly or artificial intelligence.".
很多人，甚至是科学家，都在线性模型的基础上假设，所以他们会说，这将会用几百年，我们才能实现自复制纳米技术组装或人工智能。

This step is called model selection: you selected a linear model of life satisfaction with just one attribute, GDP per capita(Equation 1-1).
这个过程称之为模型选择：你为生活满意度选择了一个线性模型，该模型只有一个属性，就是人均GDP（见以下公式）。

The(sometimes surprising) observation is that this is still a linear model: to see this, imagine creating a new variable.
上面的模型看起来仍然是一个线性模型(尽管有些令人吃惊)，为了说明这一点，我们想象着创建一个新的变量.

The MultiTaskLasso is a linear model that estimates sparse coefficients for multiple regression problems jointly: y is a 2D array, of shape(n_samples, n_tasks).
MultiTaskLasso是一个线性模型，它联合估计多个回归问题的稀疏系数：y是一个二维数组，shape(n_samples，n_tasks)。

Suppose we have a linear model.
现在假设我们有一个模型：.

To a hyper plane or for a linear model.
那么上图的Model还是LinearModel吗？

Logistic regression, despite its name, is a linear model for classification rather than regression.
逻辑回归形如其名，是一个线性分类模型而不是回归模型。

The goal of training a linear model is to determine the ideal weight for each feature.
训练线性模型的目标是确定每个特征的理想权重。

The name‘Regression' here implies that a linear model is fit into the feature space.
此外，这里的名称“回归”意味着线性模型适合于特征空间。

Mathematically, it consists of a linear model trained with a mixed prior and prior as regularizer.
在数学上，它由一个线性模型组成，训练有混合的之前和之前的正规化。

The target of training a linear model is to decide the perfect weight for each feature.
训练线性模型的目标是确定每个特征的理想权重。

Also, the name"Regression" here implies that a linear model is fit into the feature space.
此外，这里的名称“回归”意味着线性模型适合于特征空间。

Phenomena and events in the real world do not always fit a linear model.
真实事件中的现象和事件，并不一定是直线模式的。