Neptune API
The Neptune Scale API consists of two Python packages:
- neptune-scale, for logging metadata to Neptune.
- neptune-fetcher, for fetching logged metadata from Neptune.
Setup
For installation instructions, see Get started.
Usage
To import Neptune in your model-training code:
from neptune_scale import Run
You can then work with Run objects to create or resume experiments:
run = Run(...)
FAQ
How does the Neptune client handle errors?
In case of metadata inconsistencies or other failures, Neptune triggers the default callback that terminates the training process.
For details and instructions, see Neptune API error handling.
Can we filter out Neptune warnings from our logs?
Yes, you can define a filter callback for Neptune-related warnings. For instructions, see Filter out Neptune warnings from logs.
How can we migrate our code from legacy Neptune?
See the Neptune Python client 1.x migration guide.