在 英语 中使用 Linear models 的示例及其翻译为 中文
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Patsy is a Python package for describing statistical models(especially linear models, or models that have a linear component) and building design matrices.
Patsy是一个Python包，用于描述统计模型（statisticalmodels）（特别是，线性模型或者有线性成分的模型），同时也用于构建设计矩阵（designmatrices）。Apart from that, extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalized linear models.
除了支持30层以上的广泛深入学习，它还支持标准模型，如树集成、支持向量机(SVMs)和广义线性模型。In addition to supporting extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalised linear models.
除了支持30层以上的广泛深入学习，它还支持标准模型，如树集成、支持向量机(SVMs)和广义线性模型。As identified by UNCTAD, pro-poor innovation is intrinsically difficult to understand through linear models of innovation, which tend to emphasize the research and development(R& D) aspects of the innovation process.
贸发会议明确指出(2011年)，扶贫创新在本质上通过创新的线性模型是难以理解的，因为这种模型往往强调创新进程的研究与发展方面。The power of a generalized linear model is limited by its features.
广义线性模型的能力局限于其特征的性质。He also tries to distinguish between science and engineering using the linear model.
他还试图用线性模型来区分科学和工程。Click Analyze, then General Linear Model, then Univariate.
点击Analyse――GneralLinearModel――Univariate进行分析就可以了。Generalized linear models extend the linear model in two ways.
广义线性模型通过两种方式对线性模型进行扩展。The General Linear Model(GLM) underlies most of the statistical analyses that are used in applied and social research.
通用线性模型（GLM）是应用和社会研究中使用的大多数统计分析的基础。The goal of learning a linear model from training data is to find the coefficients, β, that best explain the data.
从训练数据中学习线性模型的目标是找出系数β，该系数能够最好地解释数据。Thus, you cannot fit a generalized linear model or multi-variate regression using this.
因此，你不能用广义线性模型或多变量回归来拟合。Hypothesis tests with the general linear model can be made in two ways: multivariate or as several independent univariate tests.
使用一般线性模型的假设检验可以通过两种方式进行：多变量或多个独立的单变量检验。Moreover, general linear model repeated measures also showed no significant effect for treatment(between-subject factor; F= 0.672; df= 1; P= .416).
此外，一般线性模型重复测量也显示对治疗没有显着影响（受试者间因素;F=0.672;df=1;P=.416）。If the relationship between dependent and independent variable is well approximated by a linear model, linear regression will outperform tree based model. .
如果因变量和自变量之间的关系通过线性模型很好地近似，则线性回归将优于基于树的模型。In this hierarchical generalized linear model, the fixed effect is described by β{\displaystyle\beta}, which is the same for all observations.
在分层广义线性模型中，固定效应为β{\displaystyle\beta}，对所有观测值都相同。Moreover, ANCOVA is a general linear model that has a continuous outcome variable and two or more predictor variables.
此外，ANCOVA是一种通用线性模型，具有连续的结果变量和两个或更多预测变量。For example, a linear model can show a steady rate of increase or decrease in the data.
例如，线性模型可以表明数据中的增大或减小速度稳定。Especially methods that learn a linear model(like logistic regression, or linear support vector machines) are essentially as dumb as your calculator.
特别是线性模型（比如逻辑回归，线性支持向量机），基本上就像你的计算器一样。The importance of fitting(accurately and quickly) a linear model to a large data set cannot be overstated.
但我们不可夸大线性模型（快速且准确地）拟合大型数据集的重要性。In the‘classic' linear model, a product goes through the stages of production, consumption, and disruption and ends as waste.
在“经典”线性模型中，产品经历了生产、消费和破坏的各个阶段，最终以浪费告终。
