parameterized

简明释义

英[pəˈræmɪtəraɪzd]美[pəˈræmɪtəraɪzd]

adj. [数]参数化的

v. 使参数化（parameterize 的过去式和过去分词）

英英释义

单词用法

同义词

反义词

例句

1.Use parameterized queries.

使用参数化查询。

2.Using a basic class diagram, we can build a parameterized pattern.

我们可以使用基本类图来创建参数化的模式。

3.Here is an example showing a parameterized verb document.

下面是演示参数化谓词文档的示例。

4.The resulting parameterized staff verb is stored as part of the human task model.

得到的参数化人员谓词存储为人工任务模型的一部分。

5.Parameterized SQL is great if you absolutely must use ad hoc SQL.

如果必须无条件使用即席SQL，则参数化 SQL是很重要的。

6.A template can be parameterized by referring widget properties.

一个模板可以通过引用小部件属性而被参数化。

7.The software allows users to define parameterized settings for custom reports.

该软件允许用户定义参数化设置以生成自定义报告。

8.We can create a parameterized query to filter results based on specific criteria.

我们可以创建一个参数化查询，以根据特定标准过滤结果。

9.A parameterized function can take different inputs and produce varied outputs.

一个参数化函数可以接受不同的输入并产生不同的输出。

10.The algorithm was parameterized to optimize performance based on user input.

该算法被参数化以根据用户输入优化性能。

11.In machine learning, models are often parameterized to adjust their complexity.

在机器学习中，模型通常被参数化以调整其复杂性。

作文

In the realm of computer science and mathematics, the term parameterized plays a crucial role in defining functions, algorithms, and models. To understand what it means to be parameterized, we must first recognize that parameters are variables that allow us to customize and control the behavior of functions or systems. By using parameters, we can create flexible and adaptable solutions that can cater to a wide range of scenarios.For instance, consider a function that calculates the area of a rectangle. Instead of hardcoding the dimensions into the function, we can make it parameterized by allowing the user to input the length and width as parameters. This way, the same function can be used to calculate the area of any rectangle, making it more efficient and reusable. The ability to parameterized our functions not only simplifies our code but also enhances its readability and maintainability.Moreover, parameterized approaches are not limited to programming. They are also prevalent in statistical modeling, where researchers often use parameterized distributions to describe data. For example, when fitting a normal distribution to a dataset, the mean and standard deviation serve as parameters that define the shape of the distribution. By adjusting these parameters, we can better model the underlying data and make more accurate predictions.The significance of parameterized models extends to machine learning as well. In this field, algorithms are often designed to be parameterized to optimize their performance based on the specific characteristics of the data they are trained on. For instance, in a neural network, various layers and neurons can be adjusted through parameters to improve the model's accuracy. This flexibility allows practitioners to fine-tune their models for different tasks, leading to better results.Additionally, parameterized queries are vital in database management. When working with databases, using parameterized queries helps prevent SQL injection attacks, a common security threat. By treating inputs as parameters rather than executable code, we ensure that user input is handled safely, thus protecting our systems from malicious activities.In conclusion, the concept of parameterized is integral to various fields, including programming, statistics, machine learning, and database management. The ability to define and manipulate parameters allows for greater flexibility, efficiency, and security in our work. As we continue to advance technologically, understanding how to effectively utilize parameterized methods will be essential for developing robust solutions that meet diverse needs. Embracing this concept will not only enhance our technical skills but also prepare us for the challenges of the future, where adaptability and precision will be paramount. Therefore, mastering the idea of parameterized functions and models is crucial for anyone looking to excel in the modern landscape of technology and data analysis.

在计算机科学和数学领域，术语parameterized在定义函数、算法和模型方面发挥着至关重要的作用。要理解parameterized的含义，我们首先必须认识到参数是允许我们自定义和控制函数或系统行为的变量。通过使用参数，我们可以创建灵活且适应性强的解决方案，以满足广泛的场景。例如，考虑一个计算矩形面积的函数。与其将尺寸硬编码到函数中，不如让用户输入长度和宽度作为参数，使其成为parameterized的。这样，同一个函数就可以用于计算任何矩形的面积，提高了效率和可重用性。parameterized我们的函数不仅简化了代码，还增强了可读性和可维护性。此外，parameterized的方法并不限于编程。在统计建模中，研究人员通常使用parameterized分布来描述数据。例如，在拟合正态分布到数据集时，均值和标准差作为定义分布形状的参数。通过调整这些参数，我们可以更好地建模基础数据，并做出更准确的预测。parameterized模型的重要性在机器学习中也得到了体现。在这个领域，算法通常被设计为parameterized以优化其基于特定数据特征的性能。例如，在神经网络中，各个层和神经元可以通过参数进行调整，以提高模型的准确性。这种灵活性使从业者能够针对不同任务微调他们的模型，从而获得更好的结果。此外，parameterized查询在数据库管理中至关重要。在处理数据库时，使用parameterized查询有助于防止SQL注入攻击，这是一种常见的安全威胁。通过将输入视为参数而不是可执行代码，我们确保用户输入得到安全处理，从而保护我们的系统免受恶意活动的影响。总之，parameterized的概念在编程、统计、机器学习和数据库管理等多个领域都是不可或缺的。定义和操作参数的能力使我们的工作更加灵活、高效和安全。随着技术的不断进步，理解如何有效利用parameterized方法将对开发满足多样化需求的强大解决方案至关重要。拥抱这一概念不仅会增强我们的技术技能，还将使我们为未来的挑战做好准备，在未来，适应性和精确性将至关重要。因此，掌握parameterized函数和模型的思想对于任何希望在现代技术和数据分析领域中脱颖而出的人来说都是至关重要的。