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26 lines
910 B
Transact-SQL
26 lines
910 B
Transact-SQL
-- This shows using the AutoMLTrain stored procedure to create a forecasting model for the nyc_energy dataset.
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DECLARE @max_horizon INT = 48
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DECLARE @split_time NVARCHAR(22) = (SELECT DATEADD(hour, -@max_horizon, MAX(timeStamp)) FROM nyc_energy WHERE demand IS NOT NULL)
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DECLARE @TrainDataQuery NVARCHAR(MAX) = '
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SELECT CAST(timeStamp as NVARCHAR(30)) as timeStamp,
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demand,
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precip,
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temp
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FROM nyc_energy
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WHERE demand IS NOT NULL AND precip IS NOT NULL AND temp IS NOT NULL
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and timeStamp < ''' + @split_time + ''''
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INSERT INTO dbo.aml_model(RunId, ExperimentName, Model, LogFileText, WorkspaceName)
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EXEC dbo.AutoMLTrain @input_query= @TrainDataQuery,
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@label_column='demand',
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@task='forecasting',
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@iterations=10,
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@iteration_timeout_minutes=5,
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@time_column_name='timeStamp',
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@max_horizon=@max_horizon,
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@experiment_name='automl-sql-forecast',
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@primary_metric='normalized_root_mean_squared_error'
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