Tags » LTS

OpenSIPS minor releases 2.2.4 and 1.11.11

We are happy to announce a new set of OpenSIPS minor versions, namely 2.2.4 and 1.11.11 –  a total of 143 commits of fixes.

The commits are mainly addressing minor bugs in different parts of the the code like the TCP layer, network layer, rest_client, transaction module, rtpproxy , sip tracing and accounting – to name a few. 156 more words

News

R script showing capabilities of sparklyr R package in Ubuntu 16.04 LTS 64-bit

# .R script showing capabilities of sparklyr R package
# Prerequisites before running this R script: 
# Ubuntu 16.04 LTS 64-bit, r-base (version 3.3.3 or newer), RStudio 64-bit version
install.packages("sparklyr")
install.packages("dplyr")
install.packages("ggplot2")
install.packages("tidyr")
library(sparklyr)
library(dplyr)
library(ggplot2)
library(tidyr)
set.seed(100)
# sparklyr cheat sheet: https://github.com/rstudio/cheatsheets/raw/master/source/pdfs/sparklyr.pdf
# dplyr+tidyr: https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
# sparklyr currently (2017-04-22) only supports Spark version: 2.0.1 or 2.0.2 (not 2.1.0!!)
# Install Spark locally:
spark_install("2.0.2")
config <- spark_config()
# number of CPU cores to use:
config$spark.executor.cores <- 6
config$spark.executor.memory <- "4G"
# Connect to local version:
sc <- spark_connect (master = "local",
 config = config, version = "2.0.2")
# Copy data to Spark memory:
import_iris <- copy_to(sc, iris, "spark_iris", overwrite = TRUE) 
# partition data:
partition_iris <- sdf_partition(import_iris,training=0.5, testing=0.5) 
# Create a hive metadata for each partition:
sdf_register(partition_iris,c("spark_iris_training","spark_iris_test")) 
# Create reference to training data in Spark table
tidy_iris <- tbl(sc,"spark_iris_training") %>% select(Species, Petal_Length, Petal_Width) 
# Spark ML Decision Tree Model
model_iris <- tidy_iris %>% ml_decision_tree(response="Species", features=c("Petal_Length","Petal_Width")) 
# Create reference to test data in Spark table
test_iris <- tbl(sc,"spark_iris_test") 
# Bring predictions data back into R memory for plotting:
pred_iris <- sdf_predict(model_iris, test_iris) %>% collect
pred_iris %>%
inner_join(data.frame(prediction=0:2,
lab=model_iris$model.parameters$labels)) %>%
ggplot(aes(Petal_Length, Petal_Width, col=lab)) +
geom_point() 
spark_disconnect(sc)
Ubuntu

How to compile, install and run hashcat (password cracker) from Github source in Ubuntu 16.04 LTS using a bash shell script

cd
sudo apt update
sudo apt install cmake build-essential
sudo apt install checkinstall git
sudo apt remove hashcat
sudo rm -rf hashcat/
git clone https://github.com/hashcat/hashcat.git
cd hashcat
git submodule update --init
sudo make
sudo checkinstall
hashcat --version
# hashcat version should be v3.5.0 or newer
Ubuntu

Spring...Girl Is That You?!?!

Spring has been trying its sweet time with us, but warmer days are on the way! Im ready to pack away the layers and have been cleaning out my entire home & closets for my spring wardrobe. 314 more words

OOTD

Maganda

Pamela was absent last meeting because apparently, her dad asked her to care for her sick older sister (Grade 4). So before we started on to the lessons, I asked her again if she remembers my name, which is Niquitta, and she said my name was ‘Teacher Ate Shikita’ (huhu), which was really funny. 771 more words

LTS

windows 10 enterprise CB or windows 10 enterprise LTSB releases #sysadmin ?

windows 10 enterprise cb or windows 10 enterprise ltsb

seems to be a similar idea to the ubuntu regular (CB) and ubuntu long term support (LTS) releases so if you choose a non lts or non ltsb releases you will get newer (and less stable) features more often and more quickly… 12 more words

Fsse