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ngrayluna
marked this pull request as ready for review
July 28, 2026 17:05
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| The run path consists of the entity, project, and run ID in this format: `<entity>/<project>/<run_id>`. | ||
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| 1. Navigate to your W&B project. |
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nit: all the ordered list items in markdown should start with 1. in the source file, for maintenance reasons
thedriftofwords
requested changes
Jul 28, 2026
| In addition to values that change over time during training, it is often important to track values that summarizes a model or a preprocessing step. Store this information in a run's `summary` attribute. A run's summary attribute can handle NumPy arrays, PyTorch tensors or TensorFlow tensors. W&B persists NumPy arrays, PyTorch tensors, and TensorFlow tensors in a binary file. | ||
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| The last value logged with `wandb.Run.log()` is automatically set as the summary dictionary in a W&B Run. If a summary metric dictionary is modified, the previous value is lost. | ||
| {/* store high level metrics in the summary object, such as min, mean, variance, percentiles, and more. */} |
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is this a to-do item for later or an unfinished placeholder?
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commented out section: intentional?
| ### Update metrics for a run, after the run has finished | ||
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| This example sets the accuracy of a previous run to `0.9`. It also modifies the accuracy histogram of a previous run to be the histogram of `numpy_array`. | ||
| This example sets the accuracy of a previous run to `0.9` |
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Suggested change
| This example sets the accuracy of a previous run to `0.9` | |
| This example sets the accuracy of a previous run to `0.9`: |
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Description
Cleans up, condenses, updates and word smiths some old docs in Experiments. The main highlights:
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