Transformations algorithms

Use transformation algorithms to apply various transformations to your data, such as shrinking the distances between marginal outliers and inliers (DCPY.QUANTILETRANSFORM) or imputing missing values in a column based on a specific strategy (DCPY.IMPUTER).

The following algorithms are available:

• DCPY.IMPUTER(strategy, column(s))
• DCPY.QUANTILETRANSFORM(n_quantiles, output_distribution, column)

The SCRIPT function can be used to run your custom algorithm based on the available AI connection. For details, see Add script calculations.