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10_​Simple_​Regression_​Of_​Simple_​Functions

Simple Regression of Simple Functions

This workflow shows how to use an MLP for regression of simple functions.

Workflow Requirements
KNIME Analytics Platform 3.4.0
KNIME Deeplearning4J Integration

Simple Regression of Simple FunctionsThis workflow shows how to use an MLP for regression ofsimple functions. shuffle is important forStochastic Gradient DescentScore sinus predictionsample simple functions in therange -10 to 10View trainingdata Shuffle Numeric Scorer(deprecated) SimpleMLP CreateTraining Data Create Test Data Learning Prediction Line Plot View Predictions Simple Regression of Simple FunctionsThis workflow shows how to use an MLP for regression ofsimple functions. shuffle is important forStochastic Gradient DescentScore sinus predictionsample simple functions in therange -10 to 10View trainingdata Shuffle Numeric Scorer(deprecated) SimpleMLP CreateTraining Data Create Test Data Learning Prediction Line Plot View Predictions

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: David Kolb
Created at: 2016-07-20
On NodePit since: 2019-07-12
Last update: 2026-09-13
Created with KNIME version: v4.1.0
Tags: deeplearningmachine learningregressionmlp

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