This step is called model selection: you selected a linear model of life satisfaction with just one attribute, GDP per capita(Equation 1-1).
任何时候模型选择给予全部剂量时,它就会受到惩罚,因此它会选择更少、更小的剂量。
Whenever the model chooses to administer all full doses, it gets penalized, so instead it chooses fewer, smaller doses.
模型选择是从给定数据的一组候选模型中选择统计模型的任务。
Model selection is the task of selecting a statistical model from a set of candidate models, given data.
本章第二部分将介绍模型选择技巧。这些技巧对于确定最恰当模型和区分相互竞争的模型特别有用。
The second part of the chapter will present model selection techniques, which will be particularly useful in identifying the best-fitting model and in discriminating among competing models..
X增加了超参数调优的重要特性,也称为模型选择。
X adds the important feature of hyperparameter tuning,also known as model selection.
由于这些模型被更广泛地合并到关键的业务系统中,因此将可解释性作为模型选择的头等标准非常重要。
As these models are incorporated more widely into critical business systems,it's important to consider explainability as a first-class model selection criterion.
交叉验证迭代器也可用于使用GridSearch直接执行模型选择以获得模型的最佳超参数。
Cross validation iterators canalso be used to directly perform model selection using Grid Search for the optimal hyperparameters of the model..
信息技术互操作性元模型框架(MFI)第9部分:按需模型选择.
Information technology- Metamodel framework for interoperability(MFI)- Part 9:On demand model selection.
谷歌的研究人员已经开发出一种人工智能(AI)模型选择方法,以达到创纪录的速度和精度。
Researchers at Google have developed an approach to artificial intelligence(AI) model selection that achieves record speed and precision.
只需要1到2小时就足以做出关于模型选择和准确率的初步决定。
We should mention that 1- 2 hours of trainingwas enough to make an initial decision about the chosen model and its accuracy.
降低成本、扩大基础设施和增加模型选择是刺激客户接受该技术的先决条件。
Cost reductions, alongside the scale-up of infrastructure and increase in model choices, are a prerequisite to stimulate customer acceptance of the technology.
因此,模型选择和供应商选择是许多公司面临的一个常见问题。
Therefore, the choice of models and the choice of suppliers are the problems often faced by many companies.
大多数AutoML解决方案都处理ML管道的所有部分,包括数据清理、超参数优化和模型选择。
Most AutoML solutions address all parts of the ML pipeline,including data cleanup and hyper-parameter optimization as well as model selection.
这章中我们描述和举例说明评估泛化效果的重要方法,而且展示它们怎么应用到模型选择。
In this chapter we describe and illustrate the key methods for perfor- mance assessment,and show how they are used to select models.
This step is called model selection: you selected a linear model of life satisfaction with just one attribute, GDP per capita(Equation 1-1).
然而,常常很难判断那一部分数据是噪音(参见模型选择、测试集、最小描述长度、贝叶斯推断等等)。
However, often difficult todeduce which part of the data is noise(cf. model selection, test set, minimum description length, Bayesian inference, etc.).
The chapter will provide an overview of the subject treated in section 3,entitled" Variable and model selection techniques", together with a description of the structure of the chapters contained therein.
The code, developed at CNUCE, makes use of a detailed traffic model, including satellite constellations,and considers several source model options for explosions, collisions and RORSAT leaks.
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