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UbiOps Technical Documentation

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  - Training Checkpointing
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  - Model deployment
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    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
    
    Retraining a PyTorch model
    
    Training an XGBoost model
  - Integration examples with cloud provider tools
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    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 Conversion
    
    Mendix integration
    
    GSheets RFM pipeline
    
    Streamlit integration
    
    Weights and Biases integration using FinBERT
    
    TensorRT integration
    
    NVIDIA RAPIDS Benchmark
  - GenAI (LLMs & CV)
    GenAI (LLMs & CV)
    
    Deploy Bert
    
    Deploy Stable Diffusion
    
    Deploy Llama 2
    
    Deploy Mistral 7B (development set-up)
    
    Fine-tuning Falcon 1B
    
    Mistral RAG
  - Working with pipelines
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    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
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    Multiplying a number
    
    Load & run a pre-trained model
    
    Image recognition
    
    GPU deployment
    
    Customer segmentation
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  - Installation Guide
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    Imports And Exports
    
    Metrics
    
    Monitoring
    
    Organizations
    
    Pipeline Requests
    
    Pipelines
    
    Projects
    
    Request Schedules
    
    Roles
    
    Service Users
    
    Status
    
    User
    
    Webhooks
Release Notes
Release Notes

Table of contents

Properties

UserPendingCreate¶

Properties¶

Name	Type	Notes
email	str
password	str
name	str	[optional]
surname	str	[optional]
phone	str	[optional]