Tutorials

Tutorials take you by the hand through a series of steps to integrate Valohai features in your machine learning project.

• Learning paths
  • Valohai fundamentals
    • Setting up
    • Getting started
    • Upload output data
    • Use parameters
    • Download input data
    • Collect and view metrics
    • Define your steps in Python
    • Recap
  • Valohai pipelines
    • Getting started
    • Defining a pipeline in the valohai.yaml
    • Running a pipeline
    • Creating a pipeline with valohai-utils
    • Advanced pipeline features
    • Recap
• Valohai 101
  • Creating a pipeline
  • Deployments
    • Deploying a model for online inference
    • Batch inference on CSVs
    • Batch inference on images
• Jupyter Notebooks
• Valohai APIs
  • Valohai API basics
  • Fetching failed executions
  • Downloading metadata of a single execution
  • Triggering an execution after a push to a code repository
• Valohai command-line client valohai-cli
  • Using the valohai-cli
  • Choosing environment though valohai-cli
  • Using data inputs with valohai-cli
• Example projects
  • Keras example project
  • R example project
  • TensorFlow example project
  • Valohai API tutorial