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UbiOps Technical Documentation

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UbiOps Technical Documentation

Documentation
Documentation
- Introduction
- Deployments
  Deployments
  - Introduction to Deployments
  - Deployment versions
  - Deployment package
    Deployment package
    
    Deployment package structure
    
    Python deployment template structure
    
    Installing OS level packages
  - Advanced parameters
- Pipelines
- In- and output
  In- and output
- Environment variables
- Sending & Receiving data
  Sending & Receiving data
- User Administration
  User Administration
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
  - UbiOps SaaS Usage Limits
- Questions & Support
Tutorials
Tutorials
Cookbook
Cookbook
- Introduction
- Recipes
  Recipes
  - 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
  - Working with pipelines
    Working with pipelines
    
    Amazon Review classification
    
    Pokemon Pipeline
    
    Creating a training and production pipeline
  - Deploying a recommender model
  - Using blobs as temporary storage
- Ready deployments
  Ready deployments
API Explorer
CLI
CLI
- Introduction
- Installation Guide
- Get Started
- Documentation
  Documentation
Client Libraries
Client Libraries
- Python
  Python
Release Notes
Release Notes

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