Expand description
Comprehensive Benchmarking Framework for Kernel Approximation Methods
This module provides tools for benchmarking and comparing different kernel approximation methods in terms of approximation quality, computational performance, and memory usage.
Structs§
- Benchmark
Config - Configuration for benchmarking BenchmarkConfig
- Benchmark
Dataset - Benchmark dataset specification BenchmarkDataset
- Benchmark
Result - Result of a benchmark run BenchmarkResult
- Benchmark
Summary - Summary statistics across multiple benchmark runs BenchmarkSummary
- Kernel
Approximation Benchmark - Benchmarking suite for kernel approximation methods KernelApproximationBenchmark
Enums§
- Performance
Metric - Performance metrics for computational evaluation PerformanceMetric
- Quality
Metric - Quality metrics for evaluating approximation quality QualityMetric
Traits§
- Benchmarkable
Kernel Method - Trait for benchmarkable kernel approximation methods
- Benchmarkable
Transformer - Trait for fitted kernel approximation methods that can transform data