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UbiOps Technical Documentation

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Tutorials
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UbiOps Technical Documentation

Documentation
Documentation
- Introduction & Getting Started
- Deployments
  Deployments
  - Introduction to 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
  - Deployment versions
  - Advanced settings
  - Environment variables
- Pipelines
- Making requests & processing data
  Making requests & processing data
- Monitoring
  Monitoring
- User Administration
  User Administration
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
  - UbiOps SaaS Usage Limits
- Questions & Support
- Back to UbiOps.com
Tutorials
Tutorials
- Introduction
- 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
  - Working with pipelines
    Working with pipelines
    
    Amazon Review classification
    
    Pokemon Pipeline
    
    Creating a training and production 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
Quickstart
Quickstart
Troubleshooting
Troubleshooting
- Introduction
- Problems & Solutions
  Problems & Solutions
API Explorer
CLI
CLI
- Introduction
- Installation Guide
- Get Started
- Documentation
  Documentation
Client Libraries
Client Libraries
- Python
  Python
- R
  R
  - Introduction
  - Installation Guide
  - Getting Started
  - Documentation
    Documentation
    
    Blobs
    
    Deployment Requests
    
    Deployments
    
    Organizations
    
    Pipeline Requests
    
    Pipelines
    
    Projects
    
    Request Schedules
    
    Roles
    
    Service Users
    
    Status
    
    User
Release Notes
Release Notes

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