oxirs-vec 0.2.4

Vector index abstractions for semantic similarity and AI-augmented querying
Documentation
//! Performance evaluation for neural architectures

use crate::neural_architecture_search::{architecture::*, types::*};
use anyhow::Result;
use std::sync::Arc;
use std::time::Duration;

/// Performance evaluator for architectures
pub struct PerformanceEvaluator {
    config: EvaluationConfig,
}

/// Evaluation configuration
#[derive(Debug, Clone)]
pub struct EvaluationConfig {
    pub timeout: Duration,
    pub max_epochs: usize,
    pub validation_split: f64,
}

impl PerformanceEvaluator {
    pub fn new(config: EvaluationConfig) -> Self {
        Self { config }
    }

    /// Evaluate architecture performance
    pub fn evaluate(&self, architecture: &Architecture) -> Result<PerformanceMetrics> {
        // Placeholder implementation
        Ok(PerformanceMetrics {
            embedding_quality: 0.8,
            training_loss: 0.1,
            validation_loss: 0.15,
            inference_latency_ms: 10.0,
            model_size_params: architecture.estimate_complexity(),
            memory_usage_mb: 100.0,
            flops: 1_000_000,
            training_time_minutes: 30.0,
            energy_consumption: 50.0,
            task_metrics: std::collections::HashMap::new(),
        })
    }

    /// Batch evaluate multiple architectures
    pub fn batch_evaluate(&self, architectures: &[Architecture]) -> Result<Vec<PerformanceMetrics>> {
        architectures.iter().map(|arch| self.evaluate(arch)).collect()
    }
}

impl Default for EvaluationConfig {
    fn default() -> Self {
        Self {
            timeout: Duration::from_secs(3600), // 1 hour
            max_epochs: 100,
            validation_split: 0.2,
        }
    }
}