Module prelude

Convenient prelude that imports commonly used items

Structs

AdasynConfig

Configuration for ADASYN

AdasynStrategy

ADASYN (Adaptive Synthetic Sampling) implementation

AggregateMetrics

Aggregate metrics (macro/weighted averages)

BalancedRandomForest

Balanced Random Forest for imbalanced classification

ClassMetrics

Metrics for a single class

ClassificationReport

Classification report containing precision, recall, F1-score, and support

Configured

Configured state

Fitted

Fitted state

PerformanceHints

Collection of performance hints

RandomUnderSampler

Random Under-sampling strategy

RandomUnderSamplerConfig

Configuration for RandomUnderSampler

Resampler

Type-safe resampler with compile-time state checking

SmoteConfig

Configuration for SMOTE

SmoteStrategy

SMOTE (Synthetic Minority Over-sampling Technique) implementation

Uninitialized

Type-state pattern for compile-time correctness Uninitialized state

Enums

PerformanceHint

Performance hint for consciousness-aligned optimization

ResamplingError

Error type for resampling operations

Traits

ResamplingStrategy

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