Hello, I am running a deep neural network in Python. The input to the NN is the output from my R code. I am currently running the python script and calling the R code using a subprocess call, but this does not allow me to recursively change (increment) parameters used in the R code that would be the inputs to the python code. So in short, I would like to follow this automated process:
1. Parameters used in R code generate output 2. This output is input to Python code 3. If output of Python code > x, stop 4. Else, increment parameters used as input in R code (step 1) and repeat all steps I have searched for examples using R and Python together, and rpy2 seems like the way to go, but is there another (easier) way to do it? I would highly appreciate the help. Thanks in advance, Kankana [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.