Fix tensorboard pr curve example. #1469
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add_pr_curve should accept 1) model probabilities, and 2) ground truth values, namely if a sample is or isn't the specified class index. Previously, the add_pr_curve was coded to accept model probabilities and model predictions.
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add_pr_curve should accept 1) model probabilities, and 2) ground truth values, namely if a sample is or isn't the specified class index. Previously, the add_pr_curve was coded to accept model probabilities and model predictions. Co-authored-by: holly1238 <77758406+holly1238@users.noreply.github.com>
In https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html#assessing-trained-models-with-tensorboard,
add_pr_curveshould acceptmodel probabilities, and
ground truth values, namely if a sample is or isn't the specified
class index.
Previously,
add_pr_curvewas coded to accept model probabilities andmodel predictions.
See the discussion in #852.