class variable造句
例句與造句
- By default ; class variables and constants are
；類變量和常數(shù)默認為 - To the section name and reset the global current classes variable
設(shè)置成節(jié)名并將全局的當前類變量 - In other words they are class variables , not instance variables
換句話說它們是類變量,不是實例變量。 - Class variables as in the java language are qualified by the class name
類變量（像在java語言中一樣）是用類名限定的。 - Demonstrates how to access a base class variable that is hidden in a derived class
演示如何訪問在派生類中隱藏的基類變量。 - It's difficult to find class variable in a sentence. 用class variable造句挺難的
- Overloaded infix operators and do not work if both operands are class variables
如果兩個操作數(shù)均為類變量，重載中綴運算符< <和> >無效： - In the java language , only one sensible mapping exists : the attribute becomes a class variable
在java語言中只有一種合理的映射方式：屬性變成一個類變量。 - An assertion cannot be used with class variable declarations for instance , but can be placed within any method
不能將斷言同實例的類變量聲明一塊使用，但卻可以將其置于任何方法內(nèi)。 - Structure variable declarations cannot specify initializers or initial sizes for arrays ; class variable declarations can
結(jié)構(gòu)變量聲明不能指定初始值設(shè)定項或數(shù)組初始大小，而類變量聲明可以。 - If an element was not previous selected using a mouse click , the code assigns the element to a private class variable named
如果某元素不是以前使用鼠標單擊選定的元素，此代碼會將此元素分配給名稱為 - To facilitate this , the plug - in class implements the singleton pattern : it stores a reference to itself in a private class variable
為了使這一點更方便，插件類實現(xiàn)單模式（ singleton pattern ） ：它在私有類變量中存儲一個自身的引用。 - The java class has a class variable that stores a lookup dictionary with all the possible spellings and naming of a locale , for all the locales that could come in as input
Java類有一個用來存儲查找字典的類變量，其中包含了可能作為輸入的每個地區(qū)所有可能的拼寫和命名。 - Two steps were included : the first step was to label those documents containing latent class variables by blsa ; the second step was to label the rest by naive bayesian model with em algorithm
本算法不需要對大量訓練樣本的類別標注，只需提供相應(yīng)的類主題變量，從而提高了wsdl文檔分類的自動性和效率。 - We explored the specific machine learning technique , i . e . bayesian technique in this paper , in the hope of automatically creating such kind of metadata from training data . we assigned wsdl documents to different categories using bayesian latent semantic model . with the frame of blsm , our system classified wsdl documents only by a few of latent class variables and no labeled data
本論文中基于貝葉斯技術(shù)的web服務(wù)分類算法的主要思想是通過引入貝葉斯?jié)撛谡Z義模型，首先將含有潛在類別主題變量的wsdl文檔分配到相應(yīng)的類主題中；接著利用樸素貝葉斯模型，結(jié)合前一階段的知識，完成對未含類主題變量的文檔作標注。