//! # TrainingConfig - Trait Implementations
//!
//! This module contains trait implementations for `TrainingConfig`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
use scirs2_core::random::prelude::*;
use super::types::{OptimizerType, TrainingConfig};
impl Default for TrainingConfig {
fn default() -> Self {
Self {
learning_rate: 0.01,
epochs: 100,
batch_size: 32,
optimizer: OptimizerType::QuantumInspiredAdam,
regularization: 0.001,
}
}
}