quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! # QuantumInContextLearningConfig - Trait Implementations
//!
//! This module contains trait implementations for `QuantumInContextLearningConfig`.
//!
//! ## 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::QuantumInContextLearningConfig;

impl Default for QuantumInContextLearningConfig {
    fn default() -> Self {
        Self {
            model_dim: 64,
            context_length: 100,
            max_context_examples: 50,
            num_qubits: 8,
            num_attention_heads: 4,
            context_compression_ratio: 0.8,
            quantum_context_encoding: QuantumContextEncoding::AmplitudeEncoding,
            adaptation_strategy: AdaptationStrategy::DirectConditioning,
            entanglement_strength: 0.5,
            coherence_preservation: 0.9,
            use_quantum_memory: true,
            enable_meta_learning: true,
            context_retrieval_method: ContextRetrievalMethod::QuantumNearestNeighbor {
                distance_metric: QuantumDistanceMetric::QuantumFidelity,
                k_neighbors: 5,
            },
        }
    }
}