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Improve the univariate statsforecast function in EvaDB #1081
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I believe we can simply do @xzdandy I'll take care of |
Thanks @americast! For time data type, it can be tricky. For example, I am using House Property Sales Time Series data set, where the saledate column is |
It is not working. 1) the change is to the aggregated_batch instead of data. This can be easily fixed. 2) The output object of the UDF is not correctly binded. So in projection, we are looking for a non-existent column. |
From the warning message, |
Addressing item3 in #1081 * [x] In `evadb/executor/create_function_executor.py`, we rename the input relationship to a [fixed schema](https://nixtla.github.io/statsforecast/docs/getting-started/getting_started_short.html) requested by statsforecast * [x] Rename the output column so it is synced with binder. A temporal fix. We will reconsider the design in #1017 * [x] Update testcases to test the column rename feature.
- Addressing ` Update documentation with all available parameters.` in #1081. - Adding documentation for * MODEL * ID * TIME * PREDICT * FREQUENCY
Address the `SELECT Forecast(12) FROM AirData;` to `SELECT Forecast(12);` in #1081 - [x] update parser, binder, optimizer, and executor to allow project without children. - [x] update forecasting test cases and documentation. - [x] add unit test and short integration test for `SELECT expr;`. - [x] add documentation that we support `SELECT expr;`.
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Description
SELECT Forecast(12) FROM AirData;
does not make sense.Use case
No response
Are you willing to submit a PR?
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