Documentation about type conversion between RapidMiner and Python
Hi There,
Is there any documentation about how datatypes are passed around and converted from RapidMiner to Python and vice versa ?
For instance, I see that a datetime is tossed as an normal object in pandas.
When you transfer a datetime column to RapidMiner back you get a warning :
Is there any documentation about how datatypes are passed around and converted from RapidMiner to Python and vice versa ?
For instance, I see that a datetime is tossed as an normal object in pandas.
When you transfer a datetime column to RapidMiner back you get a warning :
FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
Nov 11, 2021 8:11:39 PM INFO: df[name] = df[name].astype("int64")//1000
This occurs somewhere when handing over the dataframe to an example set. This is not part of my own code.
I would like to know if there is documentation on the details of data type conversion between RapidMiner and python.
--Art
This occurs somewhere when handing over the dataframe to an example set. This is not part of my own code.
I would like to know if there is documentation on the details of data type conversion between RapidMiner and python.
--Art
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Anyone ?