Modules§
- category_
system - Type-level algorithm category system
Enums§
- Complexity
Class - Algorithm complexity categorization
- Stability
Class - Algorithm stability categorization
Traits§
- Anomaly
Detection - Marker trait for anomaly detection algorithms
- Batch
Learning - Marker trait for batch learning algorithms
- BigData
- Composite trait for algorithms suitable for big data
- Black
Box - Marker trait for black-box models
- Categorical
Data - Marker trait for algorithms that work with categorical data
- Classification
- Marker trait for classification algorithms
- Complexity
Bounds - Trait for algorithms with known complexity characteristics
- Density
Estimation - Marker trait for density estimation algorithms
- Deterministic
- Marker trait for deterministic models
- ExplainableAI
- Composite trait for explainable AI algorithms
- Fast
AndEfficient - Composite trait for algorithms that are both fast and memory-efficient
- Fast
Prediction - Marker trait for algorithms with fast prediction
- Fast
Training - Marker trait for algorithms with fast training
- Feature
Selection - Marker trait for feature selection algorithms
- Graph
Data - Marker trait for algorithms that work with graph data
- High
Dimensional Data - Marker trait for algorithms that work with high-dimensional data
- Image
Data - Marker trait for algorithms that work with image data
- Incremental
- Marker trait for models that support incremental learning
- Interpretable
- Marker trait for interpretable models
- Memory
Efficient - Marker trait for memory-efficient algorithms
- Missing
Value Tolerant - Marker trait for models that handle missing values natively
- NonParametric
- Marker trait for non-parametric models
- Numerical
Data - Marker trait for algorithms that work with numerical data
- Online
Learning - Marker trait for online learning algorithms
- Outlier
Robust - Marker trait for models that are robust to outliers
- Parallel
Prediction - Marker trait for algorithms that support parallel prediction
- Parallel
Training - Marker trait for algorithms that support parallel training
- Parametric
- Marker trait for parametric models
- Probabilistic
- Marker trait for probabilistic models
- Ranking
- Marker trait for ranking algorithms
- Real
Time - Composite trait for algorithms suitable for real-time applications
- Regression
- Marker trait for regression algorithms
- Reinforcement
Learning - Marker trait for reinforcement learning algorithms
- Robust
- Composite trait for robust algorithms
- Scale
Sensitive - Marker trait for models that require feature scaling
- Semi
Supervised Learning - Marker trait for semi-supervised learning algorithms
- Sparse
Data - Marker trait for algorithms that work with sparse data
- Stability
Bounds - Trait for algorithms with known stability characteristics
- Streaming
Learning - Marker trait for streaming algorithms
- Supervised
Learning - Marker trait for supervised learning algorithms
- Text
Data - Marker trait for algorithms that work with text data
- Time
Series Data - Marker trait for algorithms that work with time series data
- Unsupervised
Learning - Marker trait for unsupervised learning algorithms