//! # MLConfig - Trait Implementations
//!
//! This module contains trait implementations for `MLConfig`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
use scirs2_core::random::prelude::*;
use super::types::{
MLAlgorithm, MLConfig, NetworkArchitecture, TensorNetworkConfig, TrainingConfig,
};
impl Default for MLConfig {
fn default() -> Self {
Self {
algorithm_type: MLAlgorithm::QuantumInspiredNeuralNetwork,
architecture: NetworkArchitecture::default(),
training_config: TrainingConfig::default(),
tensor_network_config: TensorNetworkConfig::default(),
}
}
}