Hello, in the ML workbench, as the R language is available, is there a way to push and pull data from a data model using R kernel?
Or is it possible only in Python using the pycelonis package?
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Hi Lorenzo,
Good question! I see indeed that R is one of the recent additions to the machine learning projects. As far as I know, only the PyCelonis package can be used to access Celonis objects. If you prefer to use R to execute your calculation, it is possible to use Python packages in R and parse the data(types), but I can imagine this come with some performance loss.
For more information, see Calling Python from R (r-project.org).
kind regards,
Jan-peter
Hi Lorenzo,
Good question! I see indeed that R is one of the recent additions to the machine learning projects. As far as I know, only the PyCelonis package can be used to access Celonis objects. If you prefer to use R to execute your calculation, it is possible to use Python packages in R and parse the data(types), but I can imagine this come with some performance loss.
For more information, see Calling Python from R (r-project.org).
kind regards,
Jan-peter
just to thank you about the suggestion, I have tested the package and I was indeed able to use it into the ML Workbench, using PyCelonis in a R kernel.
Many thanks for the clue!
Best regards,
Lorenzo Pigozzi
Hello Jan-peter,
just to thank you about the suggestion, I have tested the package and I was indeed able to use it into the ML Workbench, using PyCelonis in a R kernel.
Many thanks for the clue!
Best regards,
Lorenzo Pigozzi
just to thank you about the suggestion, I have tested the package and I was indeed able to use it into the ML Workbench, using PyCelonis in a R kernel.
Many thanks for the clue!
Best regards,
Lorenzo Pigozzi
Good to hear, glad that I could help. Looking forward to see if this will be integrated somehow.
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