Summary

This is the User Guide for Turi Create

• Overview
• Working with data
  • Tabular data
    • Loading and Saving
    • Data Manipulation
    • SQL Databases
  • Graph data
  • Text data
  • Visualization
    • Example Gallery
    • Sample Use Cases
• Task focused toolkits
  • Recommender Systems
    • Using models
    • Choosing a model
    • Deployment to Core ML
  • Image Classification
    • Advanced Usage
    • How it works
    • Deployment to Core ML
  • Drawing Classification
    • How it works
    • Data Preparation
    • Deployment to Core ML
    • Advanced Usage
  • Sound Classification
    • How it works
    • Advanced Usage
    • Deployment to Core ML
  • Image Similarity
    • Deployment to Core ML
  • Object Detection
    • Data Preparation
    • Advanced Usage
    • Deployment to Core ML
    • How it works
  • One-Shot Object Detection
  • Style Transfer
    • How it works
    • Deployment to Core ML
  • Activity Classification
    • Data Preparation
    • Advanced Usage
    • Deployment to Core ML
    • How it works
  • Text Classifier
• Machine learning essentials
  • Classification
    • Boosted Trees Classifier
    • Decision Tree Classifier
    • Logistic Regression
    • Nearest Neighbor Classifier
    • Random Forest Classifier
    • SVM
    • Deployment to Core ML
  • Clustering
    • KMeans
    • DBSCAN
  • Graph analytics
  • Nearest neighbors
  • Regression
    • Boosted Trees Regression
    • Decision Tree Regression
    • Linear Regression
    • Random Forest Regression
    • Deployment to Core ML
  • Text analysis
• Evaluating models
  • Regression metrics
  • Classification metrics
• Additional Resources
  • C++ API
  • Dataset Disclaimer