Spectrum Machine Learning Guide

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  • Welcome
  • Introduction
    • Spectrum Machine Learning
    • A Spectrum Machine Learning Workflow
  • Machine Learning Stages
    • Enterprise Designer Stages
      • Binning
        • Introduction
        • Defining Binning Properties
        • Configuring Basic Options
        • Binning Output
      • K-Means Clustering
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Port
          • Model Metrics Port
      • Linear Regression
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Ports
          • Model Score Port
          • Model Metrics Port
      • Logistic Regression
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Ports
          • Model Score Port
          • Model Metrics Port
      • Principal Component Analysis
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Port
          • Model Metrics Port
      • Random Forest Classification
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Ports
          • Model Score Port
          • Model Metrics Port
      • Random Forest Regression
        • Introduction
        • Defining Model Properties
        • Configuring Basic Options
        • Configuring Advanced Options
        • Model Output
        • Output Ports
          • Model Score Port
          • Model Metrics Port
    • Flow Designer Stages
      • Binning
        • How to
          • Add Binning to workflow
        • Reference
          • Stage ports
          • Binning Properties tab
          • Basic Options tab
      • Logistics Regression
        • How to
          • Add Logistics Regression to workflow
        • Reference
          • Stage ports
          • Model Properties tab
          • Basic Options tab
          • Advanced Options tab
          • Model Output tab
      • Principal Component Analysis (PCA)
        • How to
          • Add Principal Component Analysis (PCA) to workflow
        • Reference
          • Stage ports
          • Model Properties tab
          • Basic Options tab
          • Advanced Options tab
  • Machine Learning Model Management
    • Accessing Machine Learning Model Management
    • Model Assessment
      • Introduction to Model Assessment
      • Model Assessment Operations
      • Model Assessment tab
        • K-Means Clustering Details
        • Logistic Regression Details
        • Linear Regression Details
        • Random Forest Regression Details
        • Random Forest Classification Details—Binomial
        • Random Forest Classification Details—Multinomial
        • Principal Component Analysis Details
    • Binning Management
      • Introduction to Binning Management
      • Binning Management Operations
    • Configuration Settings
  • Data Science Demonstration Flows
    • Introduction
    • Supervised Learning: Loan Default Prediction
    • Unsupervised Learning: Segmentation