Macro define_estimator 

macro_rules! define_estimator {
    (
        name: $name:ident,
        config: $config:ident {
            $(
                $field:ident: $type:ty = $default:expr
            ),* $(,)?
        },
        features: [$($trait:ident),* $(,)?],
        validation: {
            $(
                $validation:expr
            ),* $(,)?
        }
    ) => { ... };
}

Advanced macro for creating ML estimators with builder pattern and validation

This macro generates comprehensive boilerplate code for ML estimators including:

• Builder pattern implementation
• Parameter validation
• Standard trait implementations
• Error handling

Examples

use sklears_core::define_estimator;

define_estimator! {
    name: LinearRegression,
    config: LinearRegressionConfig {
        fit_intercept: bool = true,
        regularization: f64 = 0.0
    },
    features: [Fit, Predict],
    validation: {
        regularization >= 0.0
    }
}