What is the translation of " A LOGISTIC REGRESSION " in Chinese?

• 逻辑回归
• 一个logistic回归
• logistic regression

Examples of using A logistic regression in English and their translations into Chinese

What is a Logistic Regression?
什么是Logistic回归？?

The generalized model formed in this way is called a logistic regression model.
以此建模的广义线性模式通常称为logistic回归模式。

Based on a logistic regression model?
基于Logistic回归模型的城镇?

A better approach is to use glmfit to fit a logistic regression model.
这种情况下，更好的方法是使用glmfit来拟合一个逻辑回归模型。

We will build a Logistic Regression Model with Spark.
我们将用Spark的逻辑回归算法训练分类模型。

The first of those models uses raw byte n-grams as the input features to a logistic regression model[Raff et al. 2016].
第一个模型使用原始字节n-gram作为逻辑回归模型的输入特征[Raffetal.2016]。

A logistic regression is one of the simplest classification models.
Logisticregression是一种最基本的分类算法。

This method is called a logistic regression.
所以这个模型叫做LogisticRegression。

Then we create a Logistic Regression model based on training data in our example.
然后我们就可以按照例子，基于训练数据来创建一个逻辑回归模型。

Q24- How would you evaluate a logistic regression model?
问题24：如何评估一个LRmodel？?

Use a Logistic Regression scheme to predict the future result of a time series.
使用逻辑回归方法预测时间序列在未来的结果；.

Types of questions that a logistic regression can examine:.
逻辑回归可以检查的问题类型：.

A logistic regression model was fitted to identify factors associated with returning to work at 12 months.
采用逻辑回归模型确定与12个月恢复工作相关的因素。

Andrew Ng has explained how a logistic regression problem can be solved using Neural Networks.
AndrewNg解释了如何利用神经网络求解逻辑回归问题。

A logistic regression model estimates the probability of a dependent variable as a function of independent variables.
逻辑回归模型可预测作为自变量函数值的因变量的概率。

James McCaffrey explains gradient descent and demonstrates how to use it to train a logistic regression classification system.
JamesMcCaffrey介绍了梯度下降，并演示如何用它来训练逻辑回归分类系统。

The quality of a logistic regression model is determined by measures of fit and predictive power.
逻辑回归模型的质量由拟合度量和预测能力决定。

In deep learning, the last layer of a neural network used for classification can often be interpreted as a logistic regression.
在深度学习中，通常可将用于分类的神经网络的最后一层解释为逻辑回归。

The first is a logistic regression, the second a linear regression..
第一层是一个logistic回归，第二层也是一个logistic回归。

Another problem in the area of supervised learning to be solved is called classification problem where a logistic regression is used to output categorical values.
在监督学习领域中另一个被解决的问题叫做分类问题，在这里，逻辑回归被用来输出分类值。

So I went back, did a logistic regression from scratch, and then continued with the neural nets afterwards.
因此我回去从零开始完成一个logistic回归，然后继续神经网络。

In this post I will try to explain how to build a sequence classifier based on a Logistic Regression classifier, i.e., using a discriminative approach.
在这篇博客中，作者将尝试解释如何构建一个基于Logistic回归分类器的序列分类器，即，使用一种有区别性的方法。

If we train an SVM or a logistic regression model on this training set, we observe two possible behaviours.
如果我们在这个训练集上训练SVM或logistic回归模型，我们观察到两种可能的现象。

A logistic regression is a very shallow model as it has only one layer(remember we don't count the input as a layer):.
Logistic回归是一个非常浅的模型，因为它只有一层（记住我们不把输入作为一个层来计算）：.

For instance, you might eliminate input elements in a logistic regression, or you might eliminate hidden elements in a neural network.
例如，可以删除一些logistic回归模型中的的输入变量，或者神经网络中的隐藏层元素。

I typically start with a Logistic Regression model as a benchmark and try using more complex algorithms from there on.
在研究中，我通常以Logistic回归模型作为基准，再尝试使用更复杂的算法。

Once the researchers had their dataset, they trained a logistic regression algorithm to recognize whether a comment was a personal attack or not.
一旦研究人员得到他们的数据集，他们就训练logistic回归算法来识别评论是否是人身攻击。

With loss="log", SGDClassifier fits a logistic regression model, while with loss="hinge" it fits a linear support vector machine(SVM).
例如，设定loss="log"，则SGDClassifier拟合一个逻辑斯蒂回归模型，而loss="hinge"拟合线性支持向量机（SVM）。

Creates a new Logistic Regression Model.
创建逻辑回归模型。