icookforms 0.1.0

//! # ML Models
//!
//! Machine learning models for cookie analysis.
//!
//! This module contains implementations of various ML algorithms
//! for anomaly detection and pattern recognition.

/// Isolation Forest model (unsupervised learning)
#[allow(clippy::mixed_attributes_style)]
pub mod isolation_forest {
    //! Isolation Forest algorithm implementation
    //!
    //! Future implementation will include:
    //! - Tree building with random splits
    //! - Path length computation
    //! - Anomaly score calculation
    //! - Forest aggregation
}

/// Autoencoder model (deep learning)
#[allow(clippy::mixed_attributes_style)]
pub mod autoencoder {
    //! Autoencoder for anomaly detection
    //!
    //! Future implementation will include:
    //! - Neural network architecture
    //! - Encoder/decoder layers
    //! - Reconstruction error computation
    //! - Training loop
}

/// LSTM model (temporal sequences)
#[allow(clippy::mixed_attributes_style)]
pub mod lstm {
    //! LSTM for temporal cookie analysis
    //!
    //! Future implementation will include:
    //! - LSTM cell implementation
    //! - Sequence processing
    //! - Prediction generation
    //! - Anomaly detection in time series
}

#[cfg(test)]
mod tests {
    #[test]
    fn test_models_module() {
        // Placeholder test
        assert!(true);
    }
}