Tutorials

• Data requirements
  • Data Periods
  • Columns
  • Model Output columns
  • NannyML Functionality Requirements
  • What’s next
• Estimating Performance
  • Why Estimate Performance
  • Estimating Performance for Binary Classification
  • Estimating Performance for Multiclass Classification
  • Estimating Performance for Regression
• Monitoring Realized Performance
  • Why Monitor Realized Performance
  • Monitoring Realized Performance for Binary Classification
  • Monitoring Realized Performance for Multiclass Classification
  • Monitoring Realized Performance for Regression
• Comparing Estimated and Realized Performance
  • Just the code
  • Walkthrough
• Detecting Data Drift
  • Univariate Drift Detection
  • Multivariate Drift Detection
• Ranking
  • Just The Code
  • Walkthrough
  • Insights
  • What’s Next
• Data Quality Checks
  • Missing Values Detection
  • Unseen Values Detection
• Summary Statistics
  • Summation
  • Average
  • Standard Deviation
  • Median
  • Rows Count
• Storing and loading calculators
  • Just the code
  • Walkthrough
• Working with results
  • What are NannyML Results?
  • Just the code
  • Walkthrough
• Adjusting Plots
• Chunking
  • Why do we need chunks?
  • Walkthrough on creating chunks
  • Customize chunk behavior
  • Chunks on plots with results
• Thresholds
  • Just the code
  • Walkthrough
  • What’s next?