> Belgian Waffles $5.95 Two of our famous Belgian Waffles with plenty of real maple syrup 650 Strawberry Belgian Waffles $7.95 Light Belgian waffles covered with strawberries and whipped cream...900 Berry-Berry Belgian Waffles
Chicken"], ["Ratesh","12","Fried Chicken"], ["Amadeus","12","Fried Chicken"], ["Adam","1","Canadian Waffles..."], ["Brianna","1","Canadian Waffles"]] 输出： [["Table","Canadian Waffles","Fried Chicken"], ["1","2","...0"], ["12","0","3"]] 解释： 对于餐桌 1：Adam 和 Brianna 都点了 "Canadian Waffles" 而餐桌 12：James, Ratesh 和 Amadeus
,"vals") categ_table<-arrange(categ_table,desc(vals)) categ_table$vals<-categ_table$vals /unit tb4waffles...categ_table$vals) / ndeep))) regionvec <- as.character(rep(categ_table$names, categ_table$vals)) tb4waffles...waffles[1:length(regionvec),] tb4waffles$names <- factor(regionvec,levels=categ_table$names) Color...<-brewer.pal(nrow(categ_table), "Set2") ggplot(tb4waffles, aes(x = x, y = y, fill = names)) + #geom_tile
AddItem("Blueberry Pancakes", "Pancakes made with fresh blueberries", true, 3.49); AddItem("Waffles...", "Waffles, with your choice of blueberries or strawberries", true, 3.59); } public...AddItem("Blueberry Pancakes", "Pancakes made with fresh blueberries", true, 3.49); AddItem("Waffles...", "Waffles, with your choice of blueberries or strawberries", true, 3.59); } public
syrup", true, 3.49)); pancakeHouseMenu.add(new MenuItem( "Waffles...", "Waffles, with your choice of blueberries or strawberries", true,
> 2 3 4 Belgian Waffles 5 $5.95 6 two of our famous Belgian Waffles with plenty of real maple syrup 7 650 8 9 10 Strawberry Belgian Waffles 11 $7.95... 12 light Belgian waffles covered with strawberries and whipped cream</description
Google“炸弹”袭击2004美国总统大选 现在，当打开国际头号网络搜索引擎Google（www.google.com），键入“胡说八道”（Waffles）时，在540，000项符合...他在100多个网站的blog（博客）网页上精心设置了“胡说八道”（Waffles）的链接，指向了克里的个人网站（johnkerry.com）。
Pancakes made with fresh blueberries", true, 3.49)); pancakeHouseMenu.Add(new MenuItem("Waffles...", "Waffles, with your choice of blueberries or strawberries", true, 3.59)); dinerMenu.Add
learning) TensorFlow List of text mining software Torch (machine learning) U UIMA V VIGRA Vowpal Wabbit W Waffles
delicious\cats: zophie.jpg The current folder is C:\delicious\walnut SUBFOLDER OF C:\delicious\walnut: waffles...The current folder is C:\delicious\walnut\waffles FILE INSIDE C:\delicious\walnut\waffles: butter.txt...Adding files in C:\delicious\waffles... Adding files in C:\delicious\walnut......Adding files in C:\delicious\walnut\waffles... Done.
例如，模型学到请求=“炸鸡” (fried chicken) 并且物品="鸡肉华夫饼" (chicken and waffles) 概率很高，而请求=“炸鸡” (fried chicken) 并且物品=
") 同时我们也往这些新建的表格当中插入数据，代码如下 my_cursor.executescript(""" INSERT INTO sweets_types(name) VALUES ('waffles
以下是一些提供命令行界面的机器学习工具： Waffles。 WEKA Machine Learning Workbench。
一些值得考虑的工作平台有：R, Weka, scikit-learn, waffles, 和 orange. 2.
Shogun是一个开源的大型机器学习工具箱，在一个通用的框架和接口下提供多种SVM实现(如libSVM、SVMlight)，并支持Octave、MATLAB、Python、R Waffles是一个由命令行工具组成的自由软件集合
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