This repository contains sources of Neptune Client Library for R. You need to import this library in the R code you want to run as a Neptune job.
You can find the example R jobs in neptune-examples.
You can read more about Neptune - the machine learning platform - in the documentation.
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R (3.3.2+)
-
devtools (1.12.0+)
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rJava (0.9_8+)
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Python (2.7.x)
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virtualenv
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Oracle JDK 8
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Gradle (2.9+)
To install devtools, you need to install the following binary packages:
- Debian and Ubuntu: libssl-dev libssh2-1-dev libcurl4-openssl-dev
- Fedora, CentOS and RHEL: openssl-devel libssh2-devel libcurl-devel
- OS X: openssl libssh2
To install rJava, you need to configure the binding between R and Java:
sudo sh -c 'export JDK_HOME=<path to your Java JDK installation>; export JAVA_HOME=$JDK_HOME/jre; R CMD javareconf'
If rJava module fails to load with a message that libjava.so
was not found,
you may need to configure the LD_LIBRARY_PATH
environment variable to add a path that contains this file.
This environment variable has to be always set, so you may add it to your ~/.bashrc
file.
Here is a script that fixes this issue, assuming that your Java is linked to /usr/lib/java/default-java
directory:
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/lib/jvm/default-java/jre/lib/amd64:/usr/lib/jvm/default-java/jre/lib/amd64/server"
It's recommended to use virtualenv
when building the Client Library.
Make sure you have set the R_LIBS_USER
environment variable to a path in your home directory. If you don't, you'll need to run
the following commands with root privileges.
Run:
make build
You will find the packaged Client Library in the dist/
directory.
You can install the Client Library in the terminal window:
R CMD INSTALL dist/neptune_1.4.1.tar.gz
or in the R console:
> install.packages("<absolute path to the .tar.gz file with the Client Library>")
library(neptune)
id <- jobId()
dumpDir <- dumpDirUrl()
x <- params("x")
createNumericChannel("numericChannel")
createTextChannel("textChannel")
createImageChannel("imageChannel")
channelSend("numericChannel", 1.0, 2.0)
channelSend(
"imageChannel",
1.0,
neptuneImage("name", "description", readPNG("images/sample_image.png")))
channelName <- metricChannelName()
direction <- metricDirection()
createChart(
chartName = "chart",
series = list("numericChannel1","numericChannel2"))
addTags("tag1", "tag2", "tag3")
removeTags("tag2", tag3")
tagList <- tags()
addProperties("property1" = "value1", "property2" = "value2", "property3" = "value3")
removeProperties("property2", "property3")
propertiesList <- properties()
Copyright (c) 2017, deepsense.io
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.