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I'm facing with a large scale multi-objective optimization problem, after a long search I have not found any useful package in R.
Please help me in this regard and i am not restricted to any particular method. Please tell me if there is any package in R using which I can solve Multi-Objective Mathematical Programming Problems.
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When should one consider using a metamodel in place of an expensive analysis component? I haven't actually seen an example of an openMDAO project that uses metamodels yet, so I was wondering if they're recommended or whether it's still best to treat expensive analyses like normal ones.
Using a metamodel is a trade-off. You trade accuracy vs execution time so it is up to you in your context.
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I am trying to do tagging of a french text, but TreeTagger needs Python which is impossible to install on my PC at work. For security reasons, it is impossible to install other programs (only R).
Is it possible to use R code for tagging which does not require neither java nor Python?
At this moment there are no French POS-taggers implemented in R.
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I want to machine learn a statistical technique which isn't available currently in caret package. Is there any way that i can add this technique in library or tweak anything to machine learn an algorithm?
I basically want to machine learn instrumental variable regression. Is there any way to do it?
Absolutely,
There are 2 ways:
You contribute to the package repo in github or
Follow this tutorial
Hope it helps
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i have been given to design software.i have designed the overall process using box and arrow notation .i want to know for high level design of software is there any specific notation to follow.
One of the most commonly used notations is UML or Unified Modelling Language.
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It was hard for me to understand linear models in R. There are a lot of documents for the case, but many of them are technical manuals rather than teaching the concept.
I found this article really simple and instructive, I hope it would be useful for the other people who have the same problem.
Do you have any better suggestion?
You can check here or Linear Mixed Model, its also simple and easy to understand.