Auto-Binner (Apply)

Manipulator

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. Type: PMML Preprocessing
    The PMML Model fragment containing information how to bin
  2. Type: Data
    Data to be categorized

Output Ports

  1. Type: Data
    Data with bins defined

  1. 03_Bioactivity_Prediction_Learn_All_Methods

    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…
    Users > knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates

  2. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    Users > knime > Examples > 04_Analytics > 11_Optimization

  3. 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 for…
    Users > knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates

  4. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    Users > shima0011 > 04_Analytics > 11_Optimization

Extension

This node is part of the extension

KNIME Core

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform