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[英]Cannot Open Connection Error on Azure ML Studio (Running R Script)
[英]Error deploying azure ML experiment with R script for mining association rules
我在Azure机器学习工作室上创建了一个新实验,该实验通过模块Execute R Script
能够从起始数据集中挖掘关联规则。 在本实验中,我使用了R版本Microsoft R Open 3.2.2
我首先在R Studio上编写并测试了Azure ML实验中使用的功能,但我没有遇到任何问题。 这是我的实验结构:
这是插入到Azure ML的模块中的代码的一部分,该代码在R Studio上正常运行:
# Map 1-based optional input ports to variables
dataset1 <- maml.mapInputPort(1) # class: data.frame
library("arules")
library("sqldf")
x <- sqldf('select ID_Ordine, AnnoOrdine, ZonaCommerciale, Modello, SUM(Qta) as Qta
from dataset1 group by ID_Ordine, Modello order by ID_Ordine')
a_list1 <- transform(x, Modello = as.factor(Modello),
ID_Ordine = as.factor(ID_Ordine))
transactions <- as(split(x[,"Modello"], x[,"ID_Ordine"]), "transactions")
rules <- sort(apriori(transactions,
parameter = list(supp = 0.1, conf = 0.1, target = "rules",
maxlen = 5)), by="lift")
gi <- generatingItemsets(rules) #remove inverse duplicated rules
d <- which(duplicated(gi)) #remove inverse duplicated rules
rules <- rules[-d] #remove inverse duplicated rules
#create a dataframe to be used as output
result <- data.frame(label_lhs = labels(lhs(rules)),
label_rhs = labels(rhs(rules)),
count = quality(rules)["count"])
# Select data.frame to be sent to the output Dataset port
maml.mapOutputPort("result");
如果我从代码count = quality(rules)["count"]
(将与计数有关的列导入到输出数据帧的语句count = quality(rules)["count"]
排除了这一行,则实验可以正常进行,但是当我也导入count列时,执行实验给我以下错误:
有人知道如何解决此错误,或者知道从Azure ML识别的arules对象中选择count列的另一种方法吗?
感谢您的任何建议
在此版本的包arules
, count
列不是由函数apriori()
计算的,因此我以这种方式使用反公式计算支持量:
#create a dataframe to be used as output
result <- data.frame(label_lhs = labels(lhs(rules)),
label_rhs = labels(rhs(rules)),
count = quality(rules)$support*length(transactions))
因为支持是使用以下公式计算的:
support = (number of transactions with A&B)/(number of total transactions)
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