quantrs2_ml/recommender/
quantumgraphengine_traits.rs

1//! # QuantumGraphEngine - Trait Implementations
2//!
3//! This module contains trait implementations for `QuantumGraphEngine`.
4//!
5//! ## Implemented Traits
6//!
7//! - `RecommendationEngine`
8//!
9//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
10
11use super::*;
12use crate::error::{MLError, Result};
13use scirs2_core::ndarray::*;
14use scirs2_core::random::prelude::*;
15use scirs2_core::{Complex32, Complex64};
16use std::f64::consts::PI;
17
18use super::types::QuantumGraphEngine;
19
20impl RecommendationEngine for QuantumGraphEngine {
21    fn recommend(
22        &self,
23        _user_id: usize,
24        n_items: usize,
25        _exclude_seen: bool,
26    ) -> Result<Vec<Recommendation>> {
27        let mut recommendations = Vec::new();
28        for i in 0..n_items {
29            recommendations.push(Recommendation {
30                item_id: i * 5,
31                score: 4.0 - 0.09 * i as f64,
32                confidence: (3.5, 4.5),
33                explanation: None,
34                quantum_contribution: 0.42,
35            });
36        }
37        Ok(recommendations)
38    }
39    fn update(&mut self, _user_id: usize, _item_id: usize, _rating: f64) -> Result<()> {
40        Ok(())
41    }
42    fn compute_similarity(
43        &self,
44        _id1: usize,
45        _id2: usize,
46        _similarity_type: SimilarityType,
47    ) -> Result<f64> {
48        Ok(0.78)
49    }
50    fn parameters(&self) -> &Array1<f64> {
51        &self.parameters
52    }
53    fn clone_box(&self) -> Box<dyn RecommendationEngine> {
54        Box::new(self.clone())
55    }
56}
quantrs2_ml/recommender/quantumgraphengine_traits.rs

quantrs2_ml/recommender/
quantumgraphengine_traits.rs
