SimdMetrics

scirs2_metrics::optimization::simd_gpu

Struct SimdMetrics 

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pub struct SimdMetrics { /* private fields */ }
Expand description

SIMD-accelerated metric computations

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impl SimdMetrics

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pub fn new() -> Result<Self>

Create new SIMD metrics computer with hardware detection

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pub fn with_simd_enabled(self, enabled: bool) -> Self

Configure SIMD settings

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pub fn with_parallel_config(self, config: ParallelConfig) -> Self

Configure parallel processing

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pub fn simd_mse<F>( &self, y_true: &ArrayView1<'_, F>, ypred: &ArrayView1<'_, F>, ) -> Result<F>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

SIMD-accelerated mean squared error computation

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pub fn simd_mae<F>( &self, y_true: &ArrayView1<'_, F>, ypred: &ArrayView1<'_, F>, ) -> Result<F>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

SIMD-accelerated mean absolute error computation

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pub fn simd_r2_score<F>( &self, y_true: &ArrayView1<'_, F>, ypred: &ArrayView1<'_, F>, ) -> Result<F>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

SIMD-accelerated R² score computation

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pub fn simd_correlation<F>( &self, x: &ArrayView1<'_, F>, y: &ArrayView1<'_, F>, ) -> Result<F>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

SIMD-accelerated correlation computation

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pub fn simd_exponential_moving_average<F>( &self, values: &ArrayView1<'_, F>, alpha: F, ) -> Result<Array1<F>>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

Advanced SIMD-accelerated exponential moving average

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pub fn simd_log_operations<F>( &self, values: &ArrayView1<'_, F>, ) -> Result<LogOperationResults<F>>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

SIMD-accelerated logarithmic operations

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pub fn simd_batch_matrix_operations<F>( &self, matrices: &[Array2<F>], operation: MatrixOperation, ) -> Result<BatchMatrixResults<F>>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

Advanced SIMD matrix operations for batch processing

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pub fn gpu_batch_metrics<F>( &self, y_true_batch: &ArrayView2<'_, F>, y_pred_batch: &ArrayView2<'_, F>, metrics: &[&str], ) -> Result<Vec<HashMap<String, F>>>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

GPU-accelerated batch metric computation

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pub fn get_capabilities(&self) -> &PlatformCapabilities

Get hardware capabilities information

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pub fn get_gpu_info(&self) -> Option<&GpuInfo>

Get GPU information if available

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pub fn benchmark_implementations<F>( &self, y_true: &ArrayView1<'_, F>, ypred: &ArrayView1<'_, F>, iterations: usize, ) -> Result<BenchmarkResults>
where F: Float + SimdUnifiedOps + Send + Sync + Sum,

Benchmark different implementations to choose the best one

Trait Implementations§

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impl Default for SimdMetrics

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fn default() -> Self

Returns the “default value” for a type. Read more

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