Hub
Pricing About
NodeNode / Manipulator

One to Many (PMML) (deprecated)

ManipulationPMML

This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

Like

Transforms all possible values in a selected column each into a new column. The value is set as the new column's name, the cell values in that column are either 1, if that row contains this possible value, or 0 if not.
The node appends as many columns as possible values are defined for the selected column(s).
If a row contains a missing value in a selected column all corresponding new columns contain the value 0.
To avoid duplicate column names with identical possible values in different selected columns, the generated column name includes the original column name in this case (i. e. the name looks like possibleValue_originalColumnName).
The dialog of the node allows you only to select columns with nominal values. If no column name appears in the dialog but your input table contains nominal columns, you could use the DomainCalculator node and connect its output to this node.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary the conversion operations of this node are appended.

Node details

Input ports
  1. Type: Table
    Data to process
    Data
  2. Type: PMML
    PMML Document
    Optional PMML document to add the normalization operations to.
Output ports
  1. Type: Table
    Processed data
    Data with transformed columns
  2. Type: PMML
    Transformed PMML input
    PMML port object that includes the performed operations.

Extension

The One to Many (PMML) (deprecated) node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
  2. Go to item
  3. Go to item

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits