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Optimal Binning (Apply)

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Mar 4, 2021 12:33 PM
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To apply optimal binning on a dataset, one need to bind the 4th output port of Optimal Binning Component to 1st input port of Apply Component, and the 3rd ouput port of Optimal Binning Component to 2nd input port of Apply Component. Step by Step Guide: 1- Initially, to run this component one should install Python Integration extensions. 2- For obtain a better Python node performance, pyarrow library should be installed. 3- Having installed pyarrow library, select serialization library as Apache Arrow under preferences. This option makes a huge difference as performance compared to Flatbuffers Column Serialization

Component details

Input ports
  1. Type: Table
    Data to Apply
    Data to Apply (from 4th output port of Optmal Binning Component)
  2. Type: Table
    IV's within Threshold
    Information Values over threshold with variable list.
Output ports
  1. Type: Table
    Binned Variables and WOE
    Binned Variables and Weight Of Evidences
  2. Type: Table
    Port 2

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.1
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime
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    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime

This component does not have nodes, extensions, nested components and related workflows

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