Prophet is an additive regression model with the following components:
$$
y(t) = g(t) + s(t) + h(t) + ϵₜ $$
where g(t) - trend,
s(t) - seasonality,
h(t) - holidays or other business impactive events,
ϵₜ - irreducible error term
This model is specialized in time-series analysis and forecasting.
Bricks → Machine Learning → Prophet
Seasonality
Three options are available: yearly, weekly, daily. It is possible to choose all three of them at the same time or only those most needed.
Date column
The column contains a date range and should be in a DateTime format.
Target variable
The column contains target values for modeling.
Filter Columns
If you have columns in your data that need to be ignored (but not removed from the data set) and not be shown in the model, you should specify them in this parameter. To select multiple columns, click the '+' button in the brick settings.
In addition, you can ignore all columns except the ones you specified by enabling the "Remove all except selected" option.
Input
Brick takes the dataset with time-series data.
Outputs
Brick returns the result of the model. For more information on the model, results click on the Open View button.