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You can also align the prediction time interval at the end timestamp of the stream time. This can be done with alignAtEnd = true
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Temporalization
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/// Temporalize the location attribute
temporalize = AGGREGATION({
aggregations = [['function' = 'TOLINEARTEMPORALPOINT', 'input_attributes' = 'SpatialPoint', 'output_attributes' = 'temp_SpatialPoint']],
group_by = ['id'],
eval_at_outdating = false
}, createSpatialObject) |
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