Skip to content

UbiOps Technical Documentation

PipelineRequestDeploymentRequest

Initializing search

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

UbiOps Technical Documentation

Documentation
Documentation
- Deployments
  Deployments
- Pipelines
- Making requests & processing data
  Making requests & processing data
- Importing & Exporting
- Monitoring
  Monitoring
- Project & User Management
  Project & User Management
- Interfacing with UbiOps
  Interfacing with UbiOps
- Miscellaneous
  Miscellaneous
- Questions & Support
- Back to UbiOps.com
Tutorials & Examples
Tutorials & Examples
- Introduction
- 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
  - How-to's
    
    How-to's
    
    How-to use a Numpy array as output
    
    How-to create a requirements.txt
    
    How-to create a request to a deployment using the Python client library
    
    How-to handle files (blobs) as input
    
    How-to handle files (blobs) as output
    
    How-to use passwords or authentication variables in deployments
    
    How to integrate UbiOps with low-code platforms
    
    How to integrate UbiOps with low-code platforms
  - 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 with other tools
    Integration examples with other tools
    
    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
    
    ONNX model performance on CPU and GPU
    
    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
    
    GPU deployment
    
    Customer segmentaion
    
    Christmas card maker with OpenCV
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
    
    Monitoring
    
    Organizations
    
    Pipeline Requests
    
    Pipelines
    
    Projects
    
    Request Schedules
    
    Roles
    
    Service Users
    
    Status
    
    User
Release Notes
Release Notes

Table of contents

Properties

PipelineRequestDeploymentRequest¶

Properties¶

Name	Type	Notes
id	str	[optional]
pipeline_object	str	[optional]
deployment	str	[optional]
version	str	[optional]

Previous PipelineRequestCreateResponse

Next PipelineRequestDetail