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NodeBayes Classification Prediction

Predictor

Predict the dependent variable Y for a set of structures using a previously built Bayes model and the required independent X variables. Ensure the independent variables used to build the model are included in the second input table for each structure or as a Fingerprint column in the third input table.

Backend implementation

utilities/canvasBayes
canvasBayes is used to implement this node.
Input ports
  1. Bayes Model Type: Data
    Canvas Bayes Model
  2. Data set Type: Data
    Data set to predict
  3. Canvas Fingerprint Type: BufferedDataTable
    Canvas Fingerprint for dataset to predict (optional)
Output ports
  1. Predicted Y values Type: Data
    Predicted Y values

This node is not contained in any workflows on the KNIME Hub, and not related to any outgoing nodes.

Add to KNIME Analytics Platform

Drag node into the workbench of KNIME Analytics Platform 4.x

Extension

This node is part of the extension

Schrödinger Extensions for KNIMETrusted extension
Version 19.3.13
Short link

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