Usage

This chapter can give you an overview and a first look about the individual functionalities of each category. Selected functions are explained in detail. This will help you for a better understanding of our function types and their usage.

General setup and preprocessing methods

• Configurations and data set handling
• Feature generation methods
• Synthetic error generation methods

Data exploration

• Events
• General exploration methods

Quality checking functionalities

• Observation reliability
• Statistical error detection
• Machine learning error detection
• Baseline error detection

Error correction functionalities

• Statistical error correction
• Machine learning error correction
• Baseline error correction

Model evaluation and data quality assessment

• Model evaluation error metrics
• Evaluation handler
• Data quality coefficients