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  • Getting Started
    • About Predict
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  • Define a strategy
    • Decide what to predict
    • Attribute readiness
    • Prepare your data
    • Start training
  • Create training models
    • Add a model
    • Review your model
  • Evaluate and retrain models
    • Evaluate trained models
    • Strength scores
    • The Confusion Matrix
    • The ROC/AUC curve
    • Probability distribution
    • View model status
    • Retrain a model
  • Deploy models
    • Deploy a model
    • Undeploy a model
    • Deployed model health
    • Model retraining recommendations
    • Delete a model
  • Create audiences
    • Audience considerations
    • Create audiences with Predict
  • Advanced topics
    • Machine learning vs. artificial intelligence
    • Machine learning concepts and technology

Deploy models

Deploy a model

This article describes how to deploy one or more versions of a trained model.

Undeploy a model

This article describes how to undeploy one or more versions of a trained model.

Deployed model health

This article provides explanations of the metrics and ratings available when using Tealium Predict ML that help you understand the quality of your deployed models.

Model retraining recommendations

This article provides best practices and recommendations for retraining a model.

Delete a model

This article describes how to delete a model. You cannot delete a version of a model, only an entire model.

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  • About Predict
  • Using Predict
  • Best practices
  • Prerequisites
  • Terminology
  • Data compliance and usage
  • Decide what to predict
  • Attribute readiness
  • Prepare your data
  • Start training
  • Add a model
  • Review your model
  • Evaluate trained models
  • Strength scores
  • The Confusion Matrix
  • The ROC/AUC curve
  • Probability distribution
  • View model status
  • Retrain a model
  • Deploy a model
  • Undeploy a model
  • Deployed model health
  • Model retraining recommendations
  • Delete a model
  • Audience considerations
  • Create audiences with Predict
  • Machine learning vs. artificial intelligence
  • Machine learning concepts and technology