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Howso

Site Navigation

  • Getting Started
  • User Guides
  • Recipes
  • API Reference

Site Navigation

  • Getting Started
  • User Guides
  • Recipes
  • API Reference

Section Navigation

  • Basic Capabilities
    • Basic Workflow
    • Feature Attributes
    • Derived Features
    • Predictions
    • Saving, Loading, and Deleting
    • Conviction
    • Residuals
  • Advanced Capabilities
    • Case Importance
    • Editing Trainees and Case Weighting
    • Feature Importance
    • Generative Output and Data Synthesis
    • Influential Cases
    • JSON/YAML as Features
    • Reinforcement Learning
    • Time Series and Sequential Data Analysis
    • Derived Features
  • Concepts
    • Working with Null and Sparse Data
    • Reacting to Existing vs New Cases
    • Global vs Local
    • Model Performance
  • Datasets
  • User Guides
  • Concepts

Concepts#

Howso introduces many concepts that may be different compared to standard machine learning workflow. This section details some of the concepts that differentiates Howso.

  • Reacting to new vs existing data

  • Global vs Local

  • Model Performance

  • Handling Sparse Data

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Derived Features

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Working with Null and Sparse Data

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