Expand description
Pipeline Debugging and Profiling Utilities
Comprehensive debugging framework for machine learning pipelines with step-by-step execution, bottleneck identification, error tracking, and performance analysis.
Structs§
- Bottleneck
- Detected bottleneck
- Bottleneck
Analysis - Bottleneck analysis result
- Bottleneck
Detector - Bottleneck detector
- Bottleneck
Thresholds - Bottleneck detection thresholds
- Breakpoint
- Breakpoint configuration
- Data
Snapshot - Data snapshot for debugging
- Data
Summary - Data summary for debugging
- Debug
Config - Configuration for debugging session
- Debug
Session - Debug session management
- Error
Analysis - Error analysis result
- Error
Pattern - Error pattern for analysis
- Error
Statistics - Error statistics
- Error
Tracker - Error tracking system
- Execution
Step - Execution step in the debugging trace
- Interactive
Debugger - Interactive debugging interface
- IoStatistics
- I/O statistics
- Memory
Usage - Memory usage information
- Performance
Analysis - Performance analysis result
- Performance
Impact - Performance impact assessment
- Performance
Measurement - Performance measurement
- Performance
Profiler - Performance profiler
- Pipeline
Debugger - Pipeline debugger with comprehensive debugging capabilities
- Profiler
Config - Profiler configuration
- Statistical
Summary - Statistical summary of data
- Step
Error - Error information for debugging
- Tracked
Error - Tracked error with context
Enums§
- Bottleneck
Severity - Bottleneck severity levels
- Bottleneck
Type - Types of bottlenecks
- Breakpoint
Condition - Breakpoint conditions
- Breakpoint
Frequency - Breakpoint frequency
- Comparison
Operator - Comparison operators for conditions
- Debug
LogLevel - Debug logging levels
- Debug
Output Format - Debug output formats
- Error
Resolution Status - Error resolution status
- Execution
State - Execution state for step-by-step debugging
- Performance
Metric - Performance metrics for breakpoints
- Session
State - Debug session state