ruvnet--RuView/vendor/sublinear-time-solver/crates/neural-network-implementation/src/data/augmentation.rs

//! Data augmentation for temporal neural networks

use crate::{data::TimeSeriesData, error::Result};
use serde::{Deserialize, Serialize};

/// Configuration for data augmentation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AugmentationConfig {
    pub noise_std: f64,
    pub time_warp_strength: f64,
    pub magnitude_warp_strength: f64,
}

/// Data augmentor
pub struct DataAugmentor {
    config: AugmentationConfig,
}

impl DataAugmentor {
    pub fn new(config: AugmentationConfig) -> Self {
        Self { config }
    }

    pub fn augment(&self, _data: &TimeSeriesData) -> Result<TimeSeriesData> {
        // Placeholder for data augmentation
        // Would implement time warping, noise addition, etc.
        todo!("Data augmentation not yet implemented")
    }
}