papAI - Documentation

Installation

• Installation guide of papAI (Standalone)

Projects

• Create a new project
• Project navigation
• Edit a project
• Delete a project
• Import a project
• Export a project

Data I/O

• Importing a new dataset
• Local Storage
• SQL and NoSQL DB Connectors
• API import
• Python and/or Spark SQL recipes
• Bucket type object storage
• Data visualization
• Descriptive statistics
• Data export

Preprocessing

• Cleaning your dataset
• Preprocessing basic operations
• Array / Map operations
• Time-Series specific operations
• Complex operations through Python and Spark SQL recipes
• Extensions
• Virtual Environments

Modeling

• Create a new ML use case
• List your experiments / runs
• Training your ML experiment
  • Through papAI's built-in models
  • Through imported external models
• Evaluate and interpret your trained models
• Create a model registry and predict the output
• Export a ML experiment
  • Through model report
  • Through model joblib export

MLOps

• Deployment
• Monitoring

- [Edit and remove a deployed experiment](./deploy/edit-deploy.md)

Contributors

• Add & delete contributors

- Roles & Rules

Academy

• Introduction
• Binary Classification
  • Heart disease detection use case tutorial
• Multi Classification
  • Customer segmentation use case
• Regression
  • Parcoursup use case tutorial
• TS Forecasting
  • Airport traffic use case tutorial
  • Uber customer demand use case tutorial
• Clustering
  • Customer Relationship Management use case tutorial
• Survival Analysis
  • Churn analysis and prediction use case

Legal

• Accord sur les traitements des données