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  • Install
  • User guide
  • Examples
  • API
  • Contributing
  • Probabl
  • GitHub
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Section Navigation

  • Managing a project
    • Project
    • Project.put
    • Project.get
    • Project.summarize
    • Summary
    • Summary.reports
  • ML Assistance
    • train_test_split
    • Report for a single estimator
      • EstimatorReport
      • EstimatorReport.help
      • EstimatorReport.cache_predictions
      • EstimatorReport.clear_cache
      • EstimatorReport.get_predictions
      • EstimatorReport.feature_importance
      • EstimatorReport.metrics
      • EstimatorReport.metrics.help
      • EstimatorReport.metrics.summarize
      • EstimatorReport.metrics.custom_metric
      • EstimatorReport.metrics.timings
      • EstimatorReport.metrics.accuracy
      • EstimatorReport.metrics.brier_score
      • EstimatorReport.metrics.log_loss
      • EstimatorReport.metrics.precision
      • EstimatorReport.metrics.precision_recall
      • EstimatorReport.metrics.prediction_error
      • EstimatorReport.metrics.r2
      • EstimatorReport.metrics.recall
      • EstimatorReport.metrics.rmse
      • EstimatorReport.metrics.roc
      • EstimatorReport.metrics.roc_auc
      • EstimatorReport.feature_importance.help
      • EstimatorReport.feature_importance.coefficients
      • EstimatorReport.feature_importance.mean_decrease_impurity
      • EstimatorReport.feature_importance.permutation
    • Report for a cross-validation of an estimator
      • CrossValidationReport
      • CrossValidationReport.help
      • CrossValidationReport.cache_predictions
      • CrossValidationReport.clear_cache
      • CrossValidationReport.get_predictions
      • CrossValidationReport.metrics
      • CrossValidationReport.metrics.help
      • CrossValidationReport.metrics.summarize
      • CrossValidationReport.metrics.custom_metric
      • CrossValidationReport.metrics.accuracy
      • CrossValidationReport.metrics.brier_score
      • CrossValidationReport.metrics.log_loss
      • CrossValidationReport.metrics.precision
      • CrossValidationReport.metrics.precision_recall
      • CrossValidationReport.metrics.prediction_error
      • CrossValidationReport.metrics.r2
      • CrossValidationReport.metrics.recall
      • CrossValidationReport.metrics.rmse
      • CrossValidationReport.metrics.roc
      • CrossValidationReport.metrics.roc_auc
      • CrossValidationReport.metrics.timings
    • Report for a comparison of EstimatorReport
      • ComparisonReport
      • ComparisonReport.help
      • ComparisonReport.cache_predictions
      • ComparisonReport.clear_cache
      • ComparisonReport.get_predictions
      • ComparisonReport.metrics
      • ComparisonReport.metrics.help
      • ComparisonReport.metrics.summarize
      • ComparisonReport.metrics.custom_metric
      • ComparisonReport.metrics.accuracy
      • ComparisonReport.metrics.brier_score
      • ComparisonReport.metrics.log_loss
      • ComparisonReport.metrics.precision
      • ComparisonReport.metrics.r2
      • ComparisonReport.metrics.recall
      • ComparisonReport.metrics.rmse
      • ComparisonReport.metrics.roc_auc
      • ComparisonReport.metrics.timings
    • Visualization Displays
      • Display
      • MetricsSummaryDisplay
      • RocCurveDisplay
      • PrecisionRecallCurveDisplay
      • PredictionErrorDisplay
  • Utilities
    • config_context
    • get_config
    • set_config
  • API
  • ML Assistance
  • Visualization Displays
  • Display

Display#

class skore.Display(*args, **kwargs)[source]#

Protocol specifying the common API for all skore displays.

plot(**kwargs)[source]#

Display a matplotlib figure containing the information of the display.

set_style(**kwargs)[source]#

Set the style of the display.

Gallery examples#

EstimatorReport: Get insights from any scikit-learn estimator

EstimatorReport: Get insights from any scikit-learn estimator

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  • Display
    • Display.plot()
    • Display.set_style()
  • Gallery examples

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