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App version: 3.4.11

Migrate from Weights & Biases

To migrate the run metadata from Weights & Biases to Neptune, use the wandb_to_neptune.py utility script provided in the neptune-ai/scale-examples repository.

The README file contains prerequisites and complete instructions.

Code mapping​

Learn how the Weights & Biases methods map to the Neptune methods.

wandb.init​

run = neptune.Run()

See also Create an experiment.

wandb.config.update​

run.log_configs()

See also Log configs.

wandb.log​

In Neptune, a logging method depends on the metadata type. For example:

  • for metrics, use run.log_metrics()
  • for single files, use run.assign_files()
  • for series of files, use run.log_files()

For a full list, see Attribute types reference.

wandb.login​

Logging in through API isn't required. Instead, save your credentials as environment variables.

wandb.finish​

run.close()

See also close().

scan_history​

To query the logged metadata, use the Neptune Fetcher client library.

import neptune_fetcher.alpha as npt

# Fetch experiments table with regex searching
npt.fetch_experiments_table()

# Fetch metric values with regex searching
npt.fetch_metrics()

See also Query metadata.