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@@ -11,7 +11,7 @@ The example script does the following:
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label of each random color is associated with the normal distribution that generated it.
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* Computes the probability that each color belongs to the class, using three other normal distributions.
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* Generate PR curves using those probabilities.
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* Creates a summary per class using [tensorboard.plugins.pr_curve.summary](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/pr_curve/summary.py).
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* Creates a summary per class using [`tensorboard.plugins.pr_curve.summary`](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/pr_curve/summary.py).
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* ClearML automatically captures TensorBoard output, TensorFlow Definitions, and output to the console.
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## Plots
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@@ -19,11 +19,16 @@ The example script does the following:
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In the **ClearML Web UI**, the PR Curve summaries appear in the experiment's page under **PLOTS**.
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* Blue PR curves
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* Green PR curves
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* Red PR curves
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## Hyperparameters
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