Struct std_dev::regression::spiral::SpiralLogisticWithCeiling

pub struct SpiralLogisticWithCeiling {
    pub opts: Options,
    pub ceiling: f64,
}

Available on crate feature regression only.

Implements LogisticEstimator with a known ceiling for the input values. Uses manhattan distance as the fitness function.

This can be used to model logistic growth with a known max.

Fields

opts: Options

The options of the spiral regression.

ceiling: f64

The max value of the input values. This becomes LogisticCoefficients::l.

Implementations

impl SpiralLogisticWithCeiling

pub fn new(opts: Options, ceiling: f64) -> Self

Create a new estimator with ceiling and opts.

Trait Implementations

impl Clone for SpiralLogisticWithCeiling

fn clone(&self) -> SpiralLogisticWithCeiling

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SpiralLogisticWithCeiling

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl LogisticEstimator for SpiralLogisticWithCeiling

fn model_logistic( &self, predictors: &[f64], outcomes: &[f64] ) -> LogisticCoefficients

Model the LogisticCoefficients from predictors and outcomes.

fn boxed_logistic(self) -> Box<dyn LogisticEstimator>where Self: Sized + 'static,

Put this estimator in a box. This is useful for conditionally choosing different estimators.

impl PartialEq<SpiralLogisticWithCeiling> for SpiralLogisticWithCeiling

fn eq(&self, other: &SpiralLogisticWithCeiling) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for SpiralLogisticWithCeiling