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Table of Contents:

  • 1. Lucy Overview
  • 2. End User Guide
  • 3. Administrative Guide
  • 4. Machine Learning Guide
    • 4.1. Clean
    • 4.2. Explore
    • 4.3. Learn
    • 4.4. Predict
    • 4.5. Items
    • 4.6. Tasks
    • 4.7. Examples
    • 4.8. Appendix
  • 5. Extractors Guide
  • 6. Cronjobs
  • 7. Battery Data Publishing
  • 8. Cartech Plugin
  • 9. MDF-DAT Sync Plugin (HVAC)
  • 10. Automated Testing for Plugins
  • 11. Proxy Setup Guide
Lucy
  • 4. Machine Learning Guide
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4. Machine Learning GuideΒΆ

This document describes the Lucy ML commands

  • 4.1. Clean
    • Primary Arguments
    • Choose Columns
    • Empty Values
    • Bin Column
    • Other Preprocessing
    • Clean Examples
      • Input
      • Output
      • Task Order
      • Choose Columns
        • Keep Columns
        • Drop Columns
      • Empty Values
        • Drop Empty
        • Fill Empty
        • Fill Type
        • Fill Value
        • Fill Multiple Columns
      • Bin Column
      • Other Preprocessing
        • Normalize
        • Autoclean
  • 4.2. Explore
    • Explore Arguments
      • Primary
      • Preprocessing
      • Data Insight Tasks
    • Explore Examples
      • Primary
        • Input/Output
        • C-Label
      • Preprocessing
        • Independents
        • Autoclean
      • Data Insight Tasks
        • Get Schema
        • Feature Importance
  • 4.3. Learn
    • Primary Arguments
    • Preprocessing
    • Cluster
    • Classify
    • Regression
    • Learn Examples
      • Input
      • Output
      • Preprocessing
        • Dimension Reduction
        • Independents
        • Normalize
        • Autoclean
        • Cross-Validation
      • Clustering
        • K-Means
        • Mean Shift
      • Classification
        • Decision Tree Classifier
        • Random Forest
      • Regression
        • Linear Regression
        • Lasso Regression
        • Ridge Regression
        • Support Vector Regression
        • Decision Tree Regression
        • Random Forest Regression
        • Gaussian Process Regression
        • Logistic Regression
  • 4.4. Predict
    • Primary Arguments
    • Predict Examples
      • Example Group 1
        • Example
  • 4.5. Items
    • Primary Arguments
    • Example
    • Additional Notes: Updating the Items JSON
      • Adding Items
      • Adding Fields
  • 4.6. Tasks
    • Primary Arguments
    • Tasks Examples
      • Input
      • Output
      • Example Learn/Explore Documents
      • Example Predict Documents
  • 4.7. Examples
  • 4.8. Appendix
    • Cross-Validation
      • Hold Out
      • Leave One Out
      • K-Fold
      • Stratified K-Fold
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