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
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