Hyperparameter, Make configurable AI applications. Build for Python/Rust hackers.
Hyperparameter is a versatile library designed to streamline the management and control of hyperparameters in machine learning algorithms and system development. Tailored for AI researchers and Machine Learning Systems (MLSYS) developers, Hyperparameter offers a unified solution with a focus on ease of use in Python, high-performance access in Rust and C++, and a set of macros for seamless hyperparameter management.
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Pythonic Syntax: Define hyperparameters using keyword argument syntax; 
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Intuitive Scoping: Control parameter scope through withstatement;
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Configuration File: Easy to load parameters from config files; 
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High-Performance Backend: Hyperparameter is implemented in Rust, providing a robust and high-performance backend for hyperparameter management. Access hyperparameters in Rust and C++ with minimal overhead, making it ideal for ML and system developers who prioritize performance. 
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Macro-Based Parameter Management: Hyperparameter provides a set of macros for both Rust and C++ users. These macros mimic Python's withstatements and adhere to language-specific scoping rules.
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Compile-Time Hashing: Both Rust and C++ interfaces utilize compile-time hashing of hyperparameter names, reducing runtime hash computation overhead. 
pip install hyperparameterfrom hyperparameter import auto_param, param_scope
@auto_param("foo")
def foo(x=1, y="a"):
    return f"x={x}, y={y}"
foo()  # x=1, y='a'
with param_scope(**{"foo.x": 2}):
    foo()  # x=2, y='a'fn foo() -> i32 {
    with_params! {
        get x = foo.x or 1i32; // Read hyperparameter with default value
        println!("x={}", x);
    }
}
fn main() {
    foo(); // x=1
    with_params! {
        set foo.x = 2i32; // Set hyperparameter
        foo(); // x=2
    }
    foo(); // x=1
}ASSERT(1 == GET_PARAM(a.b, 1), "get undefined param");
{
  auto guard = WITH_PARAMS(a, 1,        //
                            a.b, 2.0,    //
                            a.b.c, true, //
                            a.b.c.d, "str");
  ASSERT(1 == GET_PARAM(a, 0), "get int value");
  ASSERT(1 == GET_PARAM(a, 0), "get int value");
}x = param_scope.foo.x | "default value"get x = foo.x or "default value";with param_scope() as ps: # 1st scope start
    ps.foo.x=1
    with param_scope() as ps2: # 2nd scope start
        ps.foo.y=2
    # 2nd scope end
# 1st scope endwith_params!{ // 1st scope start
    set foo.x=1;
    with_params!{ //2nd scope start
        set foo.y=2
        ...
    } // 2nd scope end
} // 1st scope end@auto_param("foo")
def foo(x=1): # Print hyperparameter foo.x
    print(f"foo.x={x}")
with param_scope() as ps:
    ps.foo.x=2 # Modify foo.x in the current thread
    
    foo() # foo.x=2
    threading.Thread(target=foo).start() # foo.x=1, new thread's hyperparameter value is not affected by the main threadfn foo() { // Print hyperparameter foo.x
    with_params!{
        get x = foo.x or 1;
        println!("foo.x={}", x);
    }
}
fn main() {
    with_params!{
        set foo.x = 2; // Modify foo.x in the current thread
        
        foo(); // foo.x=2
        thread::spawn(foo); // foo.x=1, new thread's hyperparameter value is not affected by the main thread
    }
}In command line applications, it's common to define hyperparameters using command line arguments (e.g., -D, --define) and control hyperparameters on the command line. Here's an example in Python and Rust:
# example.py
from hyperparameter import param_scope, auto_param
@auto_param("example")
def main(a=0, b=1):
    print(f"example.a={a}, example.b={b}")
if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser()
    parser.add_argument("-D", "--define", nargs="*", default=[], action="extend")
    args = parser.parse_args()
    with param_scope(*args.define):
        main()// example.rs
use hyperparameter::*;
use hyperparameter_derive::Parser;
fn main() {
    #[derive(Parser, Debug)]
    struct DeriveArgs {
        #[arg(short = 'D', long)]
        define: Vec<String>,
    }
    let args = DeriveArgs::parse();
    with_params! {
        params ParamScope::from(&args.define);
        foo()
    }
}
fn foo() {
    with_params! {
        get a = example.a or 0;
        get b = example.b or 1;
        
        println!("example.a={}, example.b={}",a ,b);
    }
}This example demonstrates how to use hyperparameter in research projects, and make experiments reproducible.
This example showcases experiment management with hyperparameter and result tracing with mlflow.tracing.