There are 3893 nodes that can be used as predessesor
for a node with an input port of type Table.
Executes a JPython script, taking 1 input table and returning 1 output table.
Executes a JPython script, taking 2 input tables and returning 1 output table.
Create ACF and PACF diagnostic plots to visualize stationarity and autocorrelations in a time series column.
This node analyzes the residuals of a time series model.
Trains and generates a forecast with a (S)ARIMA Model
This node generates forecasts with a (S)ARIMA Model.
Trains and generates a forecast with a (S)ARIMAX Model.
This node generates forecasts with a (S)ARIMAX Model.
Checks a table for non-existent timestamps and generates rows with missing values for them.
Aggregate data based on a timestamp column and selected granularity: minute, hour, day, week, month, quarter, year.
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