Easy way to fix error 3194 in iTunes when you restore or update iPhone6 or iPad

previous post - XGBoost in R

Recently I gifted iPhone6s which was used by my brother. I thought it would be better to factory restore before I start using. When I do so, I got 3194 error

simple way to fix error 3194 in iTunes when you restore or update iPhone

the iphone "iphone" could not be restored unknown error (3194) occurred

Solution

if you get this error in your iTunes, DO this and try again

1) Check your iTunes version. make sure you are using latest versions of iTunes

2) Disable firewall or Anti virus security software for at-least 10 min

hope now you will get the things done. if not do one more step

3) check the system "host" file
    i) Open host file in C:\Windows\System32\Drivers\etc with administrator privilege

    ii) Find any entries like "gs.apple.com" (example 38.25.63.10 gs.apple.com) and remove the line / comment the line by adding # in front of the line

    iii) Restart the system.

In most cases you will get resolved by doing first two steps.

XGBoost in R. Error in xgb.DMatrix and can not open file -unknown- and Error in xgb.DMatrix

previous post - RHadoop-running MapReduce From R

XGBoost in R

Preparing data model for XGBoost

Error in xgb.DMatrix(data, label = label) : can not open file "-unknown-"

Solution

Check if your data has character or factor variables and try to convert them to numerical.

str(Data)

Predict using XGBoost model

red <- predict(bst, xTest)

Error in xgb.DMatrix(newdata) : xgb.DMatrix: does not support to construct from list

Solution

convert the test data into matrix type which is accpected by xgboost

pred <- predict(bst, as.matrix(xTest))

dummyVars function allows us to create dummy variables
in other words it translates text data into numerical data

dummyVars("~ gender", data = df_all)

Error: could not find function "dummyVars"

Solution

library(caret)

Related posts :

XGBoost in R : Error in xgb.iter.update

code of conduct : Top 9 Rule of Data Science Professional

RHadoop - Running Hadoop MapReduce from R

previous post - RHadoop - rJava Installation Error

Running Hadoop Mapreduce From R. Working with R and Hadoop for large scale data analytics

Running Mapreduce job

m <- mapreduce(InputPath, input.format = 'csv', map = mapFunction, reduce = reduceFunction )

Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1

Solution

Error seems map not find the file location,
I was trying to reading File from local but by backend configured with Local

rmr.options(backend = "local")

Reading File from Hadoop in R session

f = hdfs.line.reader("/HDFS/GdpData.csv");

Error in .jcheck(silent = TRUE) :
No running JVM detected. Maybe .jinit() would help.

Solution

Run .jinit() to initialize the JVM,

.jinit()

Related posts :
RHadoop Installation Issues

Working With RHadoop

RHadoop - rJava installtion Error and solution

previous post - Twitter hashflags for TN2016 election

Installaing RHadoop package. Working with R and Hadoop for large scale data analytics

Install rJava package from local system

install.packages("/home/bdlnn/Downloads/rJava_0.9-7.tar.gz", repos = NULL)

configure: error: Java interpreter '/usr/lib/jvm/default-java/jre/bin/java' does not work ERROR: configuration failed for package "rJava" * removing "/usr/local/lib/R/site-library/rJava"

Solution

Set JAVA_HOME for R

solai@vm1$ sudo R CMD javareconf JAVA_HOME='/home/bdlnn/Software/jdk1.7.0_79'

dont put '/' in end of JAVA_HOME Path

You can also try the alternate options

solai@vm1$ sudo apt-get install r-cran-rjava

inside R
Sys.setenv(JAVA_HOME='/opt/jdk1.7.0_79/jre')

Related posts :
RHadoop Installation Issues

Working With RHadoop

will Tamil nadu political parties get twitter hashflag for TN2016 social election campaign

previous post - XGBoost in R. Error in xgb.iter.update SoftmaxMultiClassObj

will Tamil nadu political parties get twitter hashflag for TN2016 social election campaign

According to twitter
     Hashflags images that appear after a #hashtag, and are enabled on Twitter for specific occasions or events. Not all hashtags of course, only the ones it deems worthy of such treatment.Sometimes referred to as custom Twitter Emojis.

some of Hashflags for india based event's

#makeinindia	#happydiwali	#ipl

last year, twitter has launched hashflags for political parties of UK and Spanish general election.

Here is the population comparison of Spain and UK with Tamil Nadu state of India.

Spain	UK	TamilNadu
47,847,339	63,843,856	76,656,206

TamilNadu has marginally higher population than these countries. Hope twitter will create hashflag for the parties like #AIADMK, #DMK, #DMDK, #PMK, #sagayam!!???. and brighten up election coverage.

Next : #TN2016 : social media analysis of Tamil Nadu political Parties.