loess-rs 0.9.0

LOESS (Locally Estimated Scatterplot Smoothing)
Documentation 
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// Default values for algorithms module types (regression, robustness).

use crate::algorithms::regression::{PolynomialDegree, ZeroWeightFallback};
use crate::algorithms::robustness::RobustnessMethod;

// Default number of robustness iterations for the **Batch** adapter.
pub const DEFAULT_ITERATIONS: usize = 3;

// Default robustness weighting method.
pub const DEFAULT_ROBUSTNESS_METHOD_ENUM: RobustnessMethod = RobustnessMethod::Bisquare;
#[cfg(feature = "dev")]
pub const DEFAULT_ROBUSTNESS_METHOD: &str = "bisquare";

// Default zero-weight neighbourhood fallback.
pub const DEFAULT_ZERO_WEIGHT_FALLBACK_ENUM: ZeroWeightFallback = ZeroWeightFallback::UseLocalMean;
#[cfg(feature = "dev")]
pub const DEFAULT_ZERO_WEIGHT_FALLBACK: &str = "use_local_mean";

// Default polynomial degree for local regression.
pub const DEFAULT_POLYNOMIAL_DEGREE_ENUM: PolynomialDegree = PolynomialDegree::Linear;
#[cfg(feature = "dev")]
pub const DEFAULT_POLYNOMIAL_DEGREE: &str = "linear";

// Default auto-convergence tolerance: `None` disables early stopping.
pub const fn default_auto_converge<T>() -> Option<T> {
    None
}

// False means do not compute or return diagnostic statistics.
pub const DEFAULT_RETURN_DIAGNOSTICS: bool = false;

// False means do not compute or return residuals.
pub const DEFAULT_RETURN_RESIDUALS: bool = false;

// False means do not compute or return robustness weights.
pub const DEFAULT_RETURN_ROBUSTNESS_WEIGHTS: bool = false;