Skip to content

UbiOps Technical Documentation

EnvironmentBuildUpdate

Initializing search

UbiOps WebApp

Documentation
How-To's & Tutorials
Troubleshooting
API Explorer
CLI
Client Libraries
Release Notes

UbiOps Technical Documentation

UbiOps WebApp

Documentation
Documentation
- Deployments
  Deployments
- Pipelines
  Pipelines
  - Operators
- Training
- Making requests & processing data
  Making requests & processing data
- Working with files
  Working with files
  - Using files in deployments
- Environments
- Importing & Exporting
- Monitoring
  Monitoring
- Project & User Management
  Project & User Management
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
- Questions & Support
- Back to UbiOps.com
How-To's & Tutorials
How-To's & Tutorials
- Introduction
- How-to's
  How-to's
- Starter Tutorials
  Starter Tutorials
  - UI Starter Tutorials
    
    UI Starter Tutorials
    
    UI deployment Starter Tutorial
    
    UI pipeline Starter Tutorial
  - Client library Starter Tutorial
  - CLI Starter Tutorial
- Tutorials
  Tutorials
  - Model deployment
    Model deployment
    
    Deploying a Scikit-Learn model
    
    Deploying a TensorFlow model
    
    Deploying an XGBoost model
    
    Inference speed of ONNX vs TensorFlow
  - Model training
    Model training
    
    Training a Tensorflow model
    
    Tensorflow Checkpointing
  - 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 with other tools
    Integration examples with other tools
    
    MLFlow integration
    
    Mendix integration
    
    GSheets RFM pipeline
    
    Streamlit integration
    
    Weights and Biases integration
    
    TensorRT integration
  - Working with pipelines
    Working with pipelines
    
    Pokemon Pipeline
    
    Creating a pipeline with R and Python deployments
  - R Tutorials
    R Tutorials
    
    Deploying an R XGboost model
    
    Deploying an R XGboost pipeline
    
    Creating a pipeline with R and Python deployments
  - UI tutorials
    UI tutorials
    
    Multiplying a number
    
    Load & run a pre-trained model
    
    Image recognition
    
    GPU deployment
    
    Customer segmentation
Troubleshooting
Troubleshooting
- Problems with building
  Problems with building
- Problems during requests
  Problems during requests
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
    
    Environments
    
    Files
    
    Imports And Exports
    
    Monitoring
    
    Organizations
    
    Pipeline Requests
    
    Pipelines
    
    Projects
    
    Request Schedules
    
    Roles
    
    Service Users
    
    Status
    
    User
Release Notes
Release Notes

Table of contents

Properties

EnvironmentBuildUpdate¶

Properties¶

Name	Type	Notes
status	str

Previous EnvironmentBuildList

Next EnvironmentCreate