wandb.Table
wandb.plot_table()
or use one of our builtins.wandb.plot
methods that make it fast to log charts directly from your script and see the exact visualizations you're looking for in the UI.wandb.plot.line()
wandb.plot.scatter()
wandb.plot.bar()
wandb.plot.histogram()
scores
) and want to visualize their distribution:data
is a list of lists, intended to support a 2D array of rows and columns.wandb.plot.pr_curve()
predictions
) on a set of examplesground_truth
) for those exampleslabels=["cat", "dog", "bird"...]
if label index 0 means cat, 1 = dog, 2 = bird, etc.)wandb.plot.roc_curve()
predictions
) on a set of examplesground_truth
) for those exampleslabels=["cat", "dog", "bird"...]
if label index 0 means cat, 1 = dog, 2 = bird, etc.)wandb.config
at the start of your training (e.g. wandb.config.learning_rate = 0.0001)
wandb.log({"val_acc" : 0.8})
. If you write to this key multiple times during training via wandb.log()
, the summary is set to the final value of that key.history
fieldwandb.Table()
to save that data, then query it in your custom panel.historyTable
in your custom chart panel. Each time you call wandb.Table()
or log a custom chart, you're creating a new table in history for that step.wandb.Table()
to log your data as a 2D array. Typically each row of this table represents one data point, and each column denotes the relevant fields/dimensions for each data point which you'd like to plot. As you configure a custom panel, the whole table will be accessible via the named key passed to wandb.log()
("custom_data_table" below), and the individual fields will be accessible via the column names ("x", "y", and "z"). You can log tables at multiple time steps throughout your experiment. The maximum size of each table is 10,000 rows."${field:<field-name>}"
anywhere in your Vega spec. This will create a dropdown in the Chart Fields area on the right side, which users can use to select a query result column to map into Vega."${field:<field-name>:<placeholder text>}"
historyTable
instead of the summaryTable
, you'll get an option to “Show step selector” in the custom chart editor. This gives you a slider that lets you select the step.