Welcome to mobts’s documentation!

User guide:

• Overview
  • The multi-stage pipeline
  • Why mobts
  • Where to go next
• Installation
  • Verifying the installation
• Quickstart
  • Next steps
• Data format
  • Typical input data
  • What mobts does with your columns
  • Optional metadata columns
  • Assumptions and checks
• Preprocessing
  • What preprocessing does
  • Output
  • Usage
• Imputation
  • What imputation does
  • Output
  • Usage
• Pipeline notes
  • The pipeline at a glance
  • Passing metadata columns through
  • Tuning before moving on
  • Reading the reports
• Configuration
  • Shared configuration
  • Preprocessing configuration
  • Imputation configuration
• Troubleshooting
  • My timestamps look wrong / shifted
  • I have duplicate rows for the same counter and timestamp
  • Saving both reports overwrote one of them
  • A counter didn’t get imputed with the method I expected
  • A counter disappeared from my output entirely
  • Calling .report() raises a ValueError
  • My metadata columns show unexpected or missing values

Examples:

• Preprocessing and Imputation Demo
  • 1. Import packages
  • 2. Load the data
  • 3. Inspect the data
  • 4. Define the required input columns
• Part A - Preprocessing
  • 5. Create the preprocessing object
  • 6. Run preprocessing
  • 7. Inspect the preprocessed data
  • 8. Check the preprocessing report
  • 9. Plot detected outliers
  • 10. Rerun preprocessing with a custom threshold
• Part B - Imputation
  • 11. [Re]define column names
  • 12. Create the imputation object
  • 13. Run imputation
  • 14. Inspect the imputed data
  • 15. Check which methods were used
  • 16. Imputation fallback logic
  • 17. Check the imputation report

API reference:

• src
  • mobts package

Indices and tables

• Index

• Module Index

• Search Page