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Update UDF to function in model-forecasting.rst #1062

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Sep 7, 2023
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Update UDF to function in model-forecasting.rst #1062

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Update UDF to function in model-forecasting.rst
xzdandy Sep 7, 2023
7a12d8d
Update installation-options.rst for forecasting
xzdandy Sep 7, 2023
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2 changes: 2 additions & 0 deletions docs/source/overview/getting-started/installation-options.rst
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Expand Up @@ -13,5 +13,7 @@ EvaDB provides the following additional installation options for extending its f

* ``pip install evadb[ludwig]`` for installing the Ludwig model training framework. It enables use-cases related to training and fine-tuning AI models.

* ``pip install evadb[forecasting]`` for installing the statsforecast forecasting framework. It enables use-cases related to time series forecasting.

* ``pip install evadb[ray]`` for installing the Ray compute engine. It enables EvaDB to do more efficient query execution on CPUs and GPUs.

4 changes: 2 additions & 2 deletions docs/source/reference/ai/model-forecasting.rst
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Expand Up @@ -19,11 +19,11 @@ First, we create a table to insert required data.
LOAD CSV 'data/forecasting/air-passengers.csv' INTO AirData;


Next, we create a UDF of `TYPE Forecasting`. We must enter the column name on which we wish to forecast using `predict`. Other options include `id` and `time` (they represent the unique id of the items and the time data if available).
Next, we create a function of `TYPE Forecasting`. We must enter the column name on which we wish to forecast using `predict`. Other options include `id` and `time` (they represent the unique id of the items and the time data if available).

.. code-block:: sql

CREATE UDF IF NOT EXISTS Forecast FROM
CREATE FUNCTION IF NOT EXISTS Forecast FROM
(SELECT y FROM AirData)
TYPE Forecasting
PREDICT 'y';
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