quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! # MoETrainingConfig - Trait Implementations
//!
//! This module contains trait implementations for `MoETrainingConfig`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use super::*;
use crate::error::{MLError, Result};
use scirs2_core::ndarray::*;
use scirs2_core::random::prelude::*;
use scirs2_core::{Complex32, Complex64};
use std::f64::consts::PI;

use super::types::MoETrainingConfig;

impl Default for MoETrainingConfig {
    fn default() -> Self {
        Self {
            epochs: 100,
            batch_size: 32,
            routing_learning_rate: 0.001,
            expert_learning_rate: 0.001,
            load_balance_weight: 0.01,
            sparsity_weight: 0.001,
            quantum_coherence_weight: 0.1,
            log_interval: 10,
        }
    }
}