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§Advanced ML Debugging Tools
Advanced machine learning specific debugging techniques including layer-wise learning rate adaptation, model sensitivity analysis, gradient flow optimization, and neural architecture debugging.
Structs§
- AdvancedML
Debugger - Advanced ML debugger
- AdvancedML
Debugging Config - Configuration for advanced ML debugging
- AdvancedML
Debugging Report - Comprehensive advanced ML debugging report
- Architectural
Bottleneck - Architectural bottleneck
- Architectural
Sensitivity - Sensitivity analysis for architectural component
- Architecture
Sensitivity - Architecture sensitivity analysis
- Data
Quality Sensitivity - Sensitivity to data quality
- Data
Sensitivity - Data sensitivity analysis
- Data
Size Sensitivity - Sensitivity to training data size
- Distribution
Sensitivity - Sensitivity to data distribution
- Feature
Sensitivity Analysis - Feature-level sensitivity analysis
- GlobalLR
Adjustment - Global learning rate adjustment recommendation
- GlobalLR
Insights - Global learning rate insights
- Hyperparameter
Sensitivity - Hyperparameter sensitivity analysis
- Implementation
Step - Step in implementing an adaptation strategy
- Initialization
Sensitivity - Sensitivity to initialization
- Instability
Indicator - Indicator of training instability
- LRAdaptation
Strategy - Learning rate adaptation strategy
- LRSchedule
- Learning rate schedule definition
- LRSchedule
Prediction - Prediction of performance with different LR schedules
- LayerLR
Metrics - Layer-specific learning rate metrics
- LayerLR
Recommendation - Learning rate recommendation for a specific layer
- Layer
WiseLR Analysis Result - Layer-wise learning rate adaptation analysis result
- Model
Sensitivity Analysis Result - Model sensitivity analysis result
- Optimization
Sensitivity - Sensitivity to optimization method
- Parameter
Interaction - Interaction between parameters
- Parameter
Sensitivity - Sensitivity analysis for a specific parameter
- Regularization
Sensitivity - Sensitivity to regularization
- Risk
Assessment - Risk assessment for a learning rate schedule
- Robustness
Assessment - Model robustness assessment
- Schedule
Sensitivity - Sensitivity to training schedule
- Sensitivity
Insights - Overall sensitivity insights
- Specific
Risk - Specific risk in training
- Stability
Trend Point - Point in stability trend analysis
- Training
Phase Recommendation - Training phase recommendation
- Training
Sensitivity - Training procedure sensitivity
- Training
Stability - Training stability assessment
- Vulnerability
- Model vulnerability
Enums§
- Adaptation
Urgency - Urgency level for learning rate adaptation
- Adjustment
Priority - Priority level for adjustments
- Bottleneck
Type - Type of architectural bottleneck
- Global
Adjustment Type - Type of global learning rate adjustment
- Instability
Type - Type of training instability
- Interaction
Type - Type of parameter interaction
- LRSchedule
Type - Type of learning rate schedule
- Risk
Level - Risk level assessment