constant

Creates a column with a constant.

Usage

Create a column with a constant

This calculator can be used with the following method:

constant

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Main Parameters

The bold options represent the default values when the parameters are optional.

• output_columns Name of the column added to the dataset

• global (true, false) Should this calculator be performed before data splitting during training for cross-validation

• steps [optionnal] (training, prediction, postprocessing) List of steps in a pipeline where columns from this calculator are added to the data. Note that when the training option is listed, the calculator is actually added during preprocessing.

• store_in_model [optionnal] (true, false) Please indicate whether the "calculated" columns by the calculator should be stored in the model or not to avoid recalculating them during prediction. This is only relevant if the calculated columns are added to both training and prediction. Without this parameter, the values will not be stored in the model. The following parameters only make sense if this parameter is set to true.

• stored_columns [required if store_in_model is true] List indicating the columns to be stored among the output_columns.

• stored_keys [required if store_in_model is true] List indicating the columns to use for identifying the correct values to join on the data for prediction among the stored values (logically, they are to be chosen from the input_columns).

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Specific Parameters

• value The value of the constant

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Examples

1. Example of the config for this calculator :

   calculated_cols:
     constant_one:
       method: constant
       output_columns:
       - constant_col
       params:
         value: 1