README.md

Benchmarks

flowchart LR
    A["Benchmarking case parameters\n[JSON-formatted string]"] --> C[Individual benchmark]
    B["Benchmarking case filters\n[JSON-formatted string]"] --> C
    C --> D["Raw results with parameters and metrics\n[JSON-formatted string]"]

    classDef inputOutputStyle fill:#44b,color:white,stroke-width:2px,stroke:white;
    classDef benchStyle font-size:x-large
    class A inputOutputStyle
    class B inputOutputStyle
    class D inputOutputStyle
    class C benchStyle

Loading

Scikit-learn Estimator

Benchmark workflow:

• Load estimator from the specified library by recursive module search
• Load data with a common loader function
• Assign special values that require estimator/data to be loaded
• Get sklearn/sklearnex context, estimator parameters, running parameters
• Measure required estimator methods
• Combine metrics and parameters into the output

See benchmark-specific config parameters.

Function

Benchmark workflow:

• Load function from the specified library by recursive module search
• Load data with a common loader function
• Construct data arguments in specified order
• Assign special values that require estimator/data to be loaded
• Measure function performance metrics

See benchmark-specific config parameters.

---

Documentation tree