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pytorch-tabnet2 0.0.0.post50.dev0+ceb8e84 documentation

  • Introduction
  • Guides
  • Models
  • Metrics
  • Credits
  • GitHub
  • Introduction
  • Guides
  • Models
  • Metrics
  • Credits
  • GitHub

Section Navigation

  • Classification Metrics
  • Regression Metrics
  • Unsupervised Metrics
  • Metrics

Metrics#

This section contains documentation for metrics available in TabNet.

  • Classification Metrics
    • Accuracy
    • AUC (Area Under the ROC Curve)
    • Balanced Accuracy
    • Log Loss (Cross-Entropy Loss)
  • Regression Metrics
    • Mean Absolute Error (MAE)
    • Mean Squared Error (MSE)
    • Root Mean Squared Error (RMSE)
    • Root Mean Squared Logarithmic Error (RMSLE)
  • Unsupervised Metrics
    • Unsupervised Loss
    • Unsupervised Metrics
    • Base Metrics

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TabNet Multi-Task Classifier

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Classification Metrics

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