The method of using tensorboard to add pr Curve in Pytorch

This article mainly introduces "the method of using tensorboard to add pr curve in Pytorch". In the daily operation, I believe that many people have doubts about the method of using tensorboard to add pr curve in Pytorch. Xiaobian consulted all kinds of data and sorted out a simple and easy-to-use method of operation. I hope it will be helpful to answer the question of "adding pr curve with tensorboard in Pytorch". Next, please follow the editor to study!

Code:

From torch.utils.tensorboard import SummaryWriterimport numpy as npnp.random.seed (20200910) labels = np.random.randint (2, size=100) # binary labelpredictions = np.random.rand (100) writer = SummaryWriter () writer.add_pr_curve ('pr_curve pockmarked forest', labels, predictions, 0) writer.close () # tensorboard-- logdir=runs

Show the running results:

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