Expand description
Convenient prelude that imports commonly used items
Structs§
- Adasyn
Config - Configuration for ADASYN
- Adasyn
Strategy - ADASYN (Adaptive Synthetic Sampling) implementation
- Aggregate
Metrics - Aggregate metrics (macro/weighted averages)
- Balanced
Random Forest - Balanced Random Forest for imbalanced classification
- Class
Metrics - Metrics for a single class
- Classification
Report - Classification report containing precision, recall, F1-score, and support
- Configured
- Configured state
- Fitted
- Fitted state
- Performance
Hints - Collection of performance hints
- Random
Under Sampler - Random Under-sampling strategy
- Random
Under Sampler Config - Configuration for RandomUnderSampler
- Resampler
- Type-safe resampler with compile-time state checking
- Smote
Config - Configuration for SMOTE
- Smote
Strategy - SMOTE (Synthetic Minority Over-sampling Technique) implementation
- Uninitialized
- Type-state pattern for compile-time correctness Uninitialized state
Enums§
- Performance
Hint - Performance hint for consciousness-aligned optimization
- Resampling
Error - Error type for resampling operations
Traits§
- Resampling
Strategy - Zero-cost abstraction for resampling strategies
Functions§
- balanced_
accuracy - Calculate balanced accuracy
- classification_
report - Generate classification report
- confusion_
matrix - Compute confusion matrix
- f1_
score - Calculate F1 score for binary or multiclass classification