API reference#
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Run
Work with runs individually or in bulk.
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management
Manage your workspace and users.
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 Field types
A field is a location where metadata is logged. The field type determines the available methods and display options.
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 Environment variables
Use environment variables to make your setup more smooth and secure.
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 Connection modes
Set the logging and synchronization mode.
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 CLI
You can use the Neptune Command Line Interface to manage and sync locally stored metadata.
Browse the complete list of functions, parameters, and constants in the index →
Integrations#
API references for Neptune integrations with other ML frameworks:
- Apache Airflow
- Catalyst
- Detectron2
- fastai
- Transformers
- Kedro
- Keras
- LightGBM
- Lightning
- MLflow
- Optuna
- Prophet
- PyTorch
- PyTorch Ignite
- Sacred
- scikit-learn
- skorch
- TensorBoard
- XGBoost
Errors, warnings, and other messages#
Out of range float values are not JSON compliant
→ Downgrade simplejson to3.18
X-coordinates (step) must be strictly increasing for series attribute
Value of float attribute cannot be malformed
'Handler' object has no attribute 'append'
TypeDoesNotSupportAttributeException
NeptuneUnsupportedType
Step must be increasing
Timestamp must be non-decreasing
Still waiting for the remaining X operations
HTTPTooManyRequests
Connection pool is full, discarding connection: app.neptune.ai
→ Non-issue unrelated to Neptune.1
See also#
- NQL (Neptune Query Language) – used to construct complex queries when fetching runs.
- System namespace (
sys
) – contains the name, description, tags, creation time, and other auto-logged metadata. - Change the location of the
.neptune
folder – see how to move the directory or access it from elsewhere in your system. - Set up a Neptune error handling function
- Help ≫ Debugging options
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The error is shown by urllib3 to indicate that a connection is dropped after a request is completed. It doesn't imply data loss. For details, see StackOverflow . ↩