This node helps handle missing values found in cells of the input table. The first tab in the dialog (labeled "Default") provides…

Reads missing value replacement settings from the PMML port and applies them to the data. The node can handle the output of the K…

This node helps handle missing values found in the ingoing Spark data. The first tab in the dialog (labeled Default ) provides de…

This node can be used to extract the error messages of missing values. If there is no error message for a specific missing value,…

Reads missing value replacement settings from the PMML port and applies them to the data. The node can handle the output of the K…

This node helps handle missing values found in cells of the input table. The first tab in the dialog (labeled "Default") provides…

This node helps handle missing values found in cells of the input table. The first tab in the dialog (labeled "Default") provides…

Projects WKT (Well-known Text) geometries into another Coordinate Reference System (CRS). Note that the target Coordinate Referen…

The input table is split into two partitions (i.e. row-wise), e.g. train and test data. The two partitions are available at the t…

Aggregates several columns into one single column. In each row, it finds a matching column from the set of selected columns and p…

This node denormalizes the input data according to the normalization parameters as given in the PMML model input (typically comin…

Filters WKT (Well-known Text) geometries according to their characteristics or geometries using the Contextual Query Language Onl…

Creates for each list of collection values a list of rows with the values of the collection in one column and all other columns g…

This node normalizes the input data according to the normalization parameters as given in the model input (typically coming from …

Compares the cell values of two selected columns row-wise. A number of different comparison methods are available: equal, not_equ…