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Is it possible to create Data visualisation in R and a app in Java and integrate both into one? if not what are the alterneatives..
I would like my app to be able to download the data visualisations i have created in R.
An alternative : Use Shiny package. Create a webpage from Shiny, use ggplot2 to create data visulaizations and add a download button.
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I set up a simple Tensorflow server with instructions from here https://tensorflow.github.io/serving/serving_advanced, using my own model. Is there a way to make predict requests directly from Java?
If it's possible, please provide some source code.
Thanks!
Yes can use the tensorflow Java API, doc here. And the java api is experimental.
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Been reading about OSGI a bit, and the structure of Android SDK made me wonder...
Is Android SDK made in OSGI?
No. Not even remotely so. I'm not even sure why you'd think that.
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I am developing an android news app that should extract specific news topics from the web then make further classification to group news articles in categories using naive Bayes classification, any body know how to implement it in Android or even in Java ?
You could try finding an open source Java implementation on GitHub.
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Is there a way to pass data from Java applet to aspx page and vice-versa?
You can have a look at websocket.
For the java part, I have a good experience with this library:
http://www.ning.com/code/2010/03/introducing-nings-asynchronous-http-client-library/
On the Windows side, there's a problem that websocket is supported since Windows 8. I don't know if it will suffice or if there's some workaround
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Could you write an android app in 100% Go or would you have to use some Java and XML too?
From Go Blog
When will Go be a first-class language for Android development?
Andrew: This would be great, but we don't have anything to announce.
If you are looking further, there is a good explanation on Quora