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Documentation about type conversion between RapidMiner and Python
Learner III
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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