NodeNode / Manipulator

Auto-Binner (Apply)

streamable

This node allows to group numeric data in intervals - called bins. The bins are defined in the PMML Model.

This node is typically used when test data shall be binned the same way the training data has been binned (using the "Auto-Binner" node).

Input ports
  1. PMML Processing Fragment Type: PMML Preprocessing
    The PMML Model fragment containing information how to bin
  2. Input Data Type: Data
    Data to be categorized
Output ports
  1. Binned Data Type: Data
    Data with bins defined
  1. 03_Bioactivity_Prediction_Learn_Testing
    parameter optimization loop machine learning
    This workflow is used for learning the model. It deploys a simple version of parameter optimzation protocol designed fo…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_Testing
  2. 03_Bioactivity_Prediction_Learn_All_Methods
    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building wh…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_All_Methods
  3. Model Optimization and Selection
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementa…
    knime > Examples > 04_Analytics > 11_Optimization > 08_Model_Optimization_and_Selection
  4. KNIME_project2
    pabloj121 > Public > KNIME_project2