List of tags#
The neptune.ai docs are categorized by the following tags.
admin#
- Collaboration in Neptune
- Workspaces and projects
- Creating and deleting projects via API
- management API reference
- Stopping or aborting a run remotely
- Privacy and security information
- Storage troubleshooting and tips
- Workspace is read only
- Management
- Archiving a project
- Archiving a project
- Changing project privacy
- Enabling public projects
- Inviting people to your workspace or project
- Resetting your API token
- User roles overview
- Service accounts
- Managing your subscription
- Creating a Neptune project
- Logging in to Neptune with SSO
- Onboarding guide for teams
- Best practices
- Trashing and deleting data
- Setting up a service account
collaboration#
- Collaboration in Neptune
- Workspaces and projects
- Creating and deleting projects via API
- management API reference
- Project API reference
- Saving custom views of the runs table
- Runs table overview
- Logging project-level metadata
- Logging text
- Changing project privacy
- Enabling public projects
- Inviting people to your workspace or project
- User roles overview
- Onboarding guide for teams
- Add tags
- Downloading metadata from the Neptune web app
- Editing object information
comparison#
- Comparing groups of runs
- Comparing images between runs
- Run comparison overview
- Creating a dashboard
- Saving custom views of the runs table
- Grouping runs by field
- Viewing series of images
- Showing multiple graphs in one chart
- Runs table overview
- Creating a scatter plot
- Editing the legend
- Selecting which runs to compare
- Viewing Jupyter notebooks in Neptune
- Tracking hyperparameter optimization jobs with Neptune
computer-vision#
- Detectron2 integration API reference
- Comparing groups of runs
- Comparing images between runs
- Viewing series of images
- Showing multiple graphs in one chart
- Creating a scatter plot
- Using Neptune with Detectron2
- Logging arrays and tensors
- Logging audio and video files
- Logging plots and charts
- Logging custom x values for graph
- Logging datasets
- Logging images
- Logging interactive charts and visualizations
- Essential logging methods
- Logging metrics
- Quickstart
debugging#
- Connection modes reference
- Checking synchronization status
- Stopping or aborting a run remotely
- Debugging options
- Exception - Field count limit exceeded
- Exception - Float attribute value malformed
- Exception - Neptune limit exceeded
- Exception - Max string attribute length exceeded
- Exception - No module named 'neptune'
- Exception - 'Handler' object has no attribute 'append'
- Error - X-coordinates (step) must be strictly increasing
- Exception - Type does not support attribute
- Exception - Writing to an archived project
- Message - NVML Shared Library Not Found
- Privacy and security information
- Setting up a Neptune error handling function
- Storage troubleshooting and tips
- Exception - Unsupported type
- Message - Still waiting for the remaining operations to sync
- Workspace is read only
- What Neptune logs automatically
- Using Neptune in different modes
- Using wait() and sync() to ensure synchronous logging
model-registry#
- Model API reference
- ModelVersion API reference
- Logging model checkpoints
- Accessing production-ready models
- Associating model versions with runs
- Creating a model version
- Managing the model version stage
- Model registry overview
- Querying metadata from the model registry
- Registering a model
- Runs vs Model registry
nlp#
- 🤗 Transformers integration API reference
- Comparing groups of runs
- Showing multiple graphs in one chart
- Using Neptune with 🤗 Transformers
- Logging arrays and tensors
- Logging audio and video files
- Logging plots and charts
- Logging custom x values for graph
- Logging datasets
- Logging interactive charts and visualizations
- Essential logging methods
- Logging metrics
- Using Neptune with pandas
- Quickstart
platform#
- Changing location of .neptune folder
- Neptune CLI overview
- Connection modes reference
- Creating and deleting projects via API
- Neptune environment variables
- management API reference
- Clearing junk metadata manually
- Checking synchronization status
- Synchronizing data with Neptune servers
- Debugging options
- Privacy and security information
- Setting up a Neptune error handling function
- Using wait() and sync() to ensure synchronous logging
- Service accounts
- Accessing production-ready models
- Managing the model version stage
- Querying metadata from the model registry
- Registering a model
- Runs vs Model registry
- Installing Neptune
- neptune 1.0 upgrade guide
- Onboarding guide for teams
- Setting your API token
- Setting Neptune credentials
- Setting the project name
- Upgrading the Neptune client library
- Importing data from Weights and Biases
- Saving a SageMaker model to model registry
- Setting up Neptune credentials in AWS Secrets
- Using Neptune in SageMaker training jobs
- Best practices
- Use Neptune in distributed computing
- Use Neptune with Docker
- Using Neptune with GitHub Actions
- Using Neptune in parallel computing
- Using Neptune with pipelining libraries
- R package setup and tutorial
- Setting up a service account
reproducing#
- Project API reference
- Run API reference
- Exploring run details
- Setting custom run ID
- Logging datasets
- Tracking dependencies
- Logging parameters and model configuration
- Logging project-level metadata
- Logging source code
- Logging to an existing run or other object
- Querying metadata from the model registry
- Re-running a failed experiment
- Reproducing a run
- Restarting a run from a checkpoint
- Downloading artifact metadata
- Getting the ID
- Resuming a run
source-code#
- What Neptune logs automatically
- Tracking dependencies
- Logging Git info
- Essential logging methods
- Logging source code
- Using Neptune with JupyterLab and Jupyter Notebook
- Uploading Jupyter notebook checkpoints
- Quickstart
tabular-data#
- LightGBM integration API reference
- XGBoost integration API reference
- Comparing groups of runs
- Showing multiple graphs in one chart
- Creating a scatter plot
- Using Neptune with LightGBM
- Using Neptune with XGBoost
- Logging arrays and tensors
- Logging plots and charts
- Logging custom x values for graph
- Logging datasets
- Logging interactive charts and visualizations
- Essential logging methods
- Logging metrics
- Logging tabular data
- Using Neptune with pandas
- Quickstart
time-series#
- Prophet integration API reference
- Comparing groups of runs
- Showing multiple graphs in one chart
- Creating a scatter plot
- Using Neptune with Prophet
- Logging arrays and tensors
- Logging plots and charts
- Logging custom x values for graph
- Logging datasets
- Logging interactive charts and visualizations
- Essential logging methods
- Logging metrics
- Quickstart