我正在使用 R 和 Java 来显示预测。
我有 5 小时的数据。我想从四小时的数据(相对于日期的内存)预测第五小时的数据。 通过使用 4 小时的数据,我创建新的集合并将第 5 小时的预测数据插入到新集合中。但我收到以下错误:
The Exception is eval failed, request status: error code: 127
org.rosuda.REngine.Rserve.RserveException: eval failed, request status: error code: 127
at org.rosuda.REngine.Rserve.RConnection.eval(RConnection.java:233)
at scheduler.scheduler.predictions.getPredictionsofData(predictions.java:45)
at pack.GetCollectionMultithreaded.getPredictionAndInsert(GetCollectionMultithreaded.java:386)
at pack.GetCollectionMultithreaded.runCustomerListAndPredictionEvery5Min(GetCollectionMultithreaded.java:155)
at pack.GetCollectionMultithreaded.main(GetCollectionMultithreaded.java:103)
这里是代码:
public class predictions {
public void getPredictionsofData(DB dbObj){
FileInputStream fis = null;
DBCollection network_device_realtime = dbObj.getCollection("mycollectionname");
DBObject return_dobject = null;
// For Network device1 realtime
try{
List<String> listOfIps = network_device_realtime.distinct("hostId");
RConnection c = new RConnection(Rhost,Rport);
c.eval("library(RMongo)");
c.eval("library(plyr)");
c.eval("library(randomForest)");
c.eval(" db <- mongoDbConnect('demo','localhost',27017)");
for( int i= 0 ;i<listOfIps.size(); i++){
float my_predicted_date = 0 ;
BasicDBObject criteria = new BasicDBObject();
BasicDBObject projections = new BasicDBObject();
criteria.put("hostId",listOfIps.get(i));
projections.put("runtimeMillis", 1);
DBCursor cursor = network_device_realtime.find(criteria,projections).sort(new BasicDBObject("runtimeMillis",-1)).limit(1);
while(cursor.hasNext()) {
BasicDBObject obj = (BasicDBObject) cursor.next();
my_predicted_date = (float) obj.getDouble("runtimeMillis");
}
// Set predict date for testing purpose
my_predicted_date = my_predicted_date-(4*60*60*1000);
// for calculating predictions next 24 hrs
for(int j = 1; j <= 12 ;j++){
my_predicted_date = my_predicted_date+(300*1000);//j*60*60*1000calculating next hrs data
System.out.println("Date Gen in network: " +my_predicted_date);
c.eval("query <- dbGetQuery(db,'"+network_device_realtime+"','{\"hostId\":\""+listOfIps.get(i)+"\",\"cpuUtilization\":{\"$ne\":\"null\"},\"memoryUtilization\":{\"$ne\":\"NaN\"},\"runtimeMillis\":{\"$ne\":\"null\"}}')");
c.eval("date <- query$runtimeMillis");
c.eval("host_id <- query$hostId");
c.eval("cpu <- query$cpuUtilization ");
c.eval("memory <- query$memoryutil");
c.eval("all_data<-data.frame(cpu,date)");
c.eval("training<- all_data");
c.eval("rf_fit<-randomForest(memory~date,data=training)");
c.eval("df <- data.frame(date="+my_predicted_date+ ")");
c.eval("predictions<-predict(rf_fit,newdata=new)");
REXP memory_predictions= c.eval("predictions");
c.eval("rf_fit<-randomForest(cpu~date,data=training)");
c.eval("df <- data.frame(date="+my_predicted_date+ ")");
c.eval("predictions<-predict(rf_fit,newdata=new)");
REXP cpu_predictions= c.eval("predictions");
String json = "";
json ="{\"memoryUtilization\":"+ memory_predictions + ",\"cpuUtilization\" : "+ cpu_predictions + ",\"hostId\" : \""+ listOfIps.get(i) + "\",\"runtimeMillis\":"+my_predicted_date+",\"deviceType\":\"snmp\"}";
return_dobject=(DBObject) JSON.parse(json);
dbObj.getCollection("prediction").insert(return_dobject);
}
}
c.close();
}
catch(Exception e){
System.out.println("ERROR: In Connection to R ");
System.out.println("The Exception is "+ e.getMessage());
e.printStackTrace();
}
}
}//class
在此代码中,我在这一行收到错误:
c.eval("rf_fit<-randomForest(memory~date,data=training)");
如何解决此错误?
最佳答案
要获取正确的错误消息,请使用它而不是简单的 eval
REXP rResponseObject = rServeConnection.parseAndEval(
"try(eval("+R_COMMAND_OR_SOURCE_FILE_PATH+"),silent=TRUE)");
if (rResponseObject.inherits("try-error")) {
LOGGER.error("R Serve Eval Exception : "+rResponseObject.asString());
}
此记录器打印 R 抛出的确切错误。
关于r - 如何解决R和Java中的异常 "eval failed, request status: error code: 127"?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/21907545/