Skip to content

UbiOps Technical Documentation

Overview

Initializing search

Documentation
Quickstarts & Tutorials
Troubleshooting
API Explorer
CLI
Client Libraries
Release Notes

UbiOps Technical Documentation

Documentation
Documentation
- Deployments
  Deployments
  - Structuring & uploading your code
    Structuring & uploading your code
    
    Deployment package structure
    
    Deployment Input & Output
    
    Blob (file) handling
    
    Installing additional packages on the container level
    
    Testing your deployment locally
    
    Raising custom error messages in your deployment
  - Deployment versions
  - Advanced settings
  - Environment variables
- Pipelines
- Making requests & processing data
  Making requests & processing data
- Importing & Exporting
- Monitoring
  Monitoring
- User Administration
  User Administration
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
  - UbiOps SaaS Usage Limits
- Questions & Support
- Back to UbiOps.com
Quickstarts & Tutorials
Quickstarts & Tutorials
- Introduction
- Quickstarts
  Quickstarts
  - UI-quickstarts
    
    UI-quickstarts
    
    UI deployment quickstart
    
    UI pipeline quickstart
  - Client library quickstart
  - CLI quickstart
- Tutorials
  Tutorials
  - Python Tutorials
    Python Tutorials
    
    Deploying models built with popular DS libraries
    Deploying models built with popular DS libraries
    
    Deploying a Scikit-Learn model
    
    Deploying a TensorFlow model
    
    Deploying an XGBoost model
    
    Integration examples with cloud provider tools
    Integration examples with cloud provider tools
    
    Azure Data Factory & UbiOps
    
    Azure Machine Learning
    
    Azure Functions trigger
    
    Google Cloud Functions trigger
    
    Integration examples (other)
    Integration examples (other)
    
    MLflow integration
    
    Snowflake integration
    
    YData integration
    
    Pachyderm integration
    
    Mendix integration
    
    Arthur intergration
    
    GSheets RFM pipeline
    
    Streamlit integration
    
    Working with pipelines
    Working with pipelines
    
    Amazon Review classification
    
    Pokemon Pipeline
    
    Creating a pipeline with R and Python deployments
    
    Other
    Other
    
    Deploying a recommender model
    
    Using blobs as temporary storage
    
    Sentiment analysis on tweets
    
    Comparing ONNX to Tensorflow performance
    
    How to deploy automatically to UbiOps from Git
  - R Tutorials
    R Tutorials
    
    Deployment models built with popular R packages
    Deployment models built with popular R packages
    
    Deploying an R XGboost model
    
    Pipelines built with popular R packages
    Pipelines built with popular R packages
    
    Deploying an R XGboost pipeline
  - Ready deployments
    Ready deployments
    
    Multiplying a number
    
    Load & run a pre-trained model
    
    Image recognition
    
    Customer segmentaion
Troubleshooting
Troubleshooting
- Problems with building
  Problems with building
- Problems during requests
  Problems during requests
- Miscellaneous problems
  Miscellaneous problems
  - Using blobs to (temporarily) store files in between pipeline steps
API Explorer
CLI
CLI
- Installation Guide
- Get Started
- Documentation
  Documentation
Client Libraries
Client Libraries
- Python
  Python
- R
  R
  - Installation Guide
  - Getting Started
  - Documentation
    Documentation
    
    Blobs
    
    Deployment Requests
    
    Deployments
    
    Imports And Exports
    
    Organizations
    
    Pipeline Requests
    
    Pipelines
    
    Projects
    
    Request Schedules
    
    Roles
    
    Service Users
    
    Status
    
    User
Release Notes
Release Notes

Overview¶

Overview of miscellaneous problems:

I need to store something between two deployments of a single pipeline

Previous Unknown field error

Next Using blobs to (temporarily) store files in between pipeline steps