Hello all,
I have been able to successfully run a time series model through the python API with relative ease:
partitioning_spec = dr.DatetimePartitioningSpecification(
'DT', use_time_series=True, multiseries_id_columns=['Source'])
project.set_target('Value', partitioning_method=partitioning_spec)
---
I have not, however, had the same success using the same data and the same techniques (at least as far as I can tell) using the REST API:
{"useTimeSeries", true,
"datetimePartitionColumn", "DT",
"multiseriesIdColumns", ["Source"]}
I encounter the following error, which I can't find discussed online and cannot wrap my head around what it could be trying to tell me:
error{"message": "Column DT has not been analyzed for time series modeling with the specified multiseries id columns ['Source']."}
---
For reference, my test data looks like this:
DT Source Value
01-01-2000 f1 1
01-01-2000 f2 100
01-02-2000 f1 2
01-02-2000 f2 105
...