torsh-backend 0.1.2

Backend abstraction layer for ToRSh
Documentation 
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//! # OnlineLearningConfig - Trait Implementations
//!
//! This module contains trait implementations for `OnlineLearningConfig`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use std::time::{Duration, Instant};

use super::types::{EarlyStoppingConfig, OnlineLearningConfig};

/// Default implementations for various structs
impl Default for OnlineLearningConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            learning_rate: 0.01,
            batch_size: 32,
            update_frequency: Duration::from_secs(300),
            forgetting_factor: 0.99,
            min_examples: 100,
            max_training_size: 10000,
            learning_rate_decay: 0.99,
            adaptive_learning_rate: true,
            early_stopping: EarlyStoppingConfig::default(),
            validation_frequency: 100,
            data_quality_threshold: 0.7,
        }
    }
}