Dashboards Refactoring (to use analyzers)

• Fixed Regression Performance Analyzer (underperformance segments table)
• Fixed Prob Classification Performance Analyzer (precision-recall table)
• Fixed Classification Performance Analyzer (Classification Confusion Based Feature Distribution Table)
• Updated CatTargetDriftTab to use analyzers
• Updated NumTargetDriftTab to use analyzers
• Updated RegressionRerformanceTab to use analyzers
• Updated ClassificationPerformanceTab to use analyzers
• Updated ProbClassificationPerformanceTab to use Analyzers

Sampling for large datasets

• Sampling for large datasets: Sequential Sampling and Random Sampling
• Changed names: Production -> Current literally everywhere
• Fixed json serialisation issue
• Updated Ranges for plots inside of the “Classification Quality By Feature” table in Probabilistic Classification Performance Dashboard

JSON Profiles

• Released Profiles
• Added “calculate” step to separate Dashboard/Profile object creation from heavy calculation process.
• Changed name: DriftTab -> DataDriftTab

Regression Performance: error bias per feature

• Bug fixes and dependency updates
• Regression Performance Report: added a new plot to detect error bias per feature
• Probabilistic Classification Report: added a new plot to help choose the decision threshold