i am using the dataiku forecast plugin and came across some issues related to the dateformat and its recognition by the forecast plugin.
When i tried to create the environment i got the error:
- dataiku Job failed: Error in R process: simpleError : there is no package called ‘zoo’
because of this i tried to created the environment with conda
when trying to add the missing packets via conda shell command or pip install the packets where not available.
Thats why i tried the environment without conda again and tried to fix by adding a R node in the flow and downloaded the missing "zoo" library. After this i got the error that the installed zoo lib is not propperly installed into the environment.
Magically after trying around the environment just worked without an error. A behavior i already came across when testing the NLP plugins. I did not install any libs, didnt change the conda installation, nothing i could mention.
But with the now working environment the "clean" skript of the forecast doesnt seem to work right.
I will add screenshots so you can see the problem:
I tried to play around with the options to parse dates, did not work
when letting it interpolate all missing hours, errors after cleaning in the model building step occured like " the data is not by hour ..."
and in the end wrote my own "clean" script, which worked with model building and inference steps, but leads to another strange behavior. Input is clean "yyyy-mm-dd HH:mm:ss" format.
Even thou i am only using model and inference, there are new values created using the same values.
Sorry, this is a long post.......thanks