Tables overview

• Compare how different models perform on the same test set
• Identify patterns in your data
• Look at sample model predictions visually
• Query to find commonly misclassified examples

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How it works

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Log a Table

• wandb.init(): Create a run to track results.
• wandb.Table(): Create a new table object.
  • columns: Set the column names.
  • data: Set the contents of the table.
• run.log(): Log the table to save it to Weights & Biases.

import wandb

with wandb.init(project="table-test") as run:
    my_table = wandb.Table(columns=["a", "b"], data=[["a1", "b1"], ["a2", "b2"]])
    run.log({"Table Name": my_table})

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How to get started

• Quickstart: Learn to log data tables, visualize data, and query data.
• Tables Gallery: See example use cases for Tables.