I want to use machine learning algorithms in wso2cep and i want to use wso2ML. I try to install machine learning features in wso2cep according to this link:
https://docs.wso2.com/display/ML100/WSO2+CEP+Extension+for+ML+Predictions
But when i install features, i get this message:
Installing the selected features, this may take a while to complete ...
And it has remained the same for hours without getting any error!!
Please help me.
I solve the problem. I select version 1.0.2 of features and it install successfully.
Related
I am new to Python and starting work on a large project that will be distributed to users. I am also the first in my company to be using, and I wanted to get recommendations on the best way to install Python & packages, so that I don't head off in the wrong direction.
I require data analysis frameworks (pandas, numpy, scipy, matplotlib, statsmodels, pymongo) and my initial approach was to install Python 3.5 directly, and then use pip install on each package.
I ran into similar problems that others have found [Unable to find vcvarsall], and resolved. Next problem was with BLAS and LAPACK missing when installing scipy. At this point I decided Anaconda was the way to go, rather than individual pip installs, and was easily able to set everything up.
One problem with Anaconda is that it installs a lot of packages which I will never use, and may not have some which I would like to use in future, e.g. TensorFlow (presumably can do pip install to get extra ones that are not included?).
An in-between solution seems to be Miniconda, which I believe would have fixed the BLAS/LAPACK problem with scipy.
So my question is: can someone with experience of developing data analysis projects in Python, that will be deployed to users' Windows desktops, and with server-side components running on Linux, provide recommendation of what they would do if starting from scratch at new organization?
(I'm currently in favour of heading down the Anaconda route.)
Personally, I think Anaconda(conda) is better. First of all, conda is cross-platform package manager, and it is easy to install and use. Second, conda has functionality of virtualenv, and you can use conda create to create environment. Finally, there is Anaconda cloud and condo-forge, those community can help you solve conda issue, build packages, and share ideas.
Moreover, Anaconda(conda) indeed install a lot of packages, but those are all dependencies. For example, when you "conda install scikit-learn", conda will automatically help you install the dependency, numpy and spicy.
When I try to install devtools in Rstudio 3.2.3 (Windows 10) using the command install.packages("devtools"), I get the following message:
warning in install.packages :
'lib = "c:/Program Files/R/R-3.2.3//library"' is not writable
I'm a newby and I've been hunting for solutions but so far am coming up empty. I would appreciate any advice that might get me through this step. Thanks.
I stumbled upon the same issue earlier. This "problem" arises when you try to install a library for the first time and R does not have a a dedicated library for it yet.
Two pop-up should appear one after the other when you try to install a package like:
install.packages("ggplot2")
The questions are the following:
Would you like to use a personal library instead?
Would you like to create a personal library 'C:\Users\bartlein\Documents/R/win-library/3.2' to install packages into?
Answer yes to both questions and you should be fine.
The ressources I used came from here.
I am new in the world of OpenMDAO (and also on Python) and I am having some problems to understand the use of the software. I have already installed Anaconda (pyth v2.7) and the OpenMDAO, but I don't know how to run it. I am following this tutorial but I am not sure if I am doing it properly. I write the .py files in notepad++, and I try to run on the IPython but when I use the command : from paraboloid import Paraboloid it appears an error : No module named.api. I think that maybe I am not using the correct path (I'm in the folder where I have the .py files). Probably it's an stupid error, so sorry for the question.
Thank you all, Jose M O
If your tutorial link above is correct, I see that you are using a tutorial for OpenMDAO 0.1.0. That version is 5.5 years old at this time, and is no longer supported. We will be happy to help with your questions, but to get a better foundation, and a much more useful tool, please consider:
Install OpenMDAO 1.5.0 (pip install openmdao or read these installation docs)
Try this paraboloid tutorial instead.
Good luck,
Keith
NOTE: If you installed OpenMDAO 1.x.x and are using the tutorial from 0.1.0, you would have many problems with api imports, as many things have changed since 0.1.0.
I'm new to running a Linux server and slowly getting up to speed with things.
I have already installed nginx via the apt-get function, although I'm following a tutorial which recommends installing it as a ruby gem instead.
Is there any difference in the functionality/limitations to installing it as a gem than by using apt-get? - I'm worried that it won't work for non-ruby applications if it is gem installed?
Is there any difference in the functionality/limitations to installing it as a gem than by using apt-get? - I'm worried that it won't work for non-ruby applications if it is gem installed?
There aren't any limitations on the version of Nginx that Passenger installs for you. You should be able to use it with other languages as you normally would (providing you know how to configure Nginx.) I was able to use it to connect to both Ruby and Node.js sites with no problems.
The people at Phusion have a nice page explaining why they are forced to provide their own version of Nginx (rather than using the standalone one) and it comes down to the fact that Nginx does not allow to be extended at runtime. Extensions like Passenger must be compiled into it. See this page for more information on it: https://github.com/phusion/passenger/wiki/Why-can%27t-Phusion-Passenger-extend-my-existing-Nginx%3F
(Note: When I tested this I used the installation instructions from the Phusion web site https://www.phusionpassenger.com/documentation/Users%20guide%20Nginx.html#install_on_debian_ubuntu , rather than the gem that is indicated in your tutorial, but I suspect they are both equivalent.)
I have run into this too. Where I am recommended to use one package manager over the other. I would question the age of the tutorial first, if it is not relatively recent you may want to consider if the information is no longer up to date. The libraries installed with that method may not be up to date.
However, if you intend to follow through with the tutorial you may end up needing it installed as the tutorial describes.
The difference is that one may not have all the libraries that are required or may not have the most up to date version. One tool could be buggy, I don't think this is the case in your situation but it is in Macports v.s Homebrew in my opinion. It might install to a different directory based on what install method you use, if you use a method off the web and then go back to the tutorial it could be installed to a different location then your tutorial expects.
If you have to follow the tutorial then I would all the way through, but if you don't need to use the preferred method that the program/library maintainers recommend. If the tutorial is out of date you could try to find an up to date tutorial.
good luck!
Can anyone help me for installation voltDB on MAC system i am trying to install it using instruction but get error
Cannot find config.m4.
Make sure that you run '/usr/bin/phpize' in the top level source directory of the module
I spent a couple of days to solve this issue google it get some post related to this error but not success to solve this issue, because i am new on MAC System so please help to install voltDB with Step by Step i'll very thankful
Installing VoltDB on a Mac uses the same process as on Linux.
The installation instructions are covered in Using VoltDB: Ch. 2: Installing VoltDB
If you are installing from the source code on Github, you first need to run a build. There are instructions to do this in Github on the project wiki.
However, from the error you are seeing, it looks like you are trying to compile the VoltDB PHP client library. To do that, I recommend downloading the PHP client library from VoltDB.com, since that includes both the PHP client library and the version of the C++ library that it depends on. It includes build instructions. If you're getting the source from github, you should know that the latest version of library is the native branch, not master.