replace

Replaces a specific value by another one.

Usage

Replacing a specific value by another one

This calculator can be used with the following method:

replace

Examples:

• replace NULL sales by 0

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Main Parameters

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

• input_columns list of columns used as input of the calculators

• output_columns list of columns added by the calculators

• 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

• to_replace Value to replace

• value Value to use for replacement

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Examples

1. In this example, we want none of my quantities to be at 0. Therefore, we will replace all quantities that are set to 0 with 1.

   calculated_cols:
     replace_zeros:
       method: replace
       input_columns:
       - qty
       output_columns:
       - qty_without_zero
       params:
         to_replace: 0.0
         value: 1.0