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@@ -11,8 +11,8 @@ 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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* ClearML automatically captures TensorBoard output, TensorFlow Definitions, and output to the console
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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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