Struct light_curve_feature::McmcCurveFit

pub struct McmcCurveFit {
    pub niterations: u32,
    pub fine_tuning_algorithm: Option<Box<CurveFitAlgorithm>>,
}

MCMC sampler for non-linear least squares

First it generates 4 * dimension_number walkers from the given initial guess using the Standard distribution with sigma = 1e-5, next it samples niterations guesses for each walker and chooses guess corresponding to the minimum sum of squared deviations (maximum likelihood). Optionally, if fine_tuning_algorithm is Some, it sends this best guess to the next optimization as an initial guess and returns its result

Fields

niterations: u32

fine_tuning_algorithm: Option<Box<CurveFitAlgorithm>>

Implementations

impl McmcCurveFit

pub fn new(
    niterations: u32,
    fine_tuning_algorithm: Option<CurveFitAlgorithm>
) -> Self

pub fn default_niterations() -> u32

pub fn default_fine_tuning_algorithm() -> Option<CurveFitAlgorithm>

Trait Implementations

impl Clone for McmcCurveFit

fn clone(&self) -> McmcCurveFit

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for McmcCurveFit

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

Formats the value using the given formatter.

impl Default for McmcCurveFit

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for McmcCurveFit

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl From<McmcCurveFit> for CurveFitAlgorithm

fn from(v: McmcCurveFit) -> CurveFitAlgorithm

Performs the conversion.

impl JsonSchema for McmcCurveFit

fn schema_name() -> String

The name of the generated JSON Schema.

fn json_schema(gen: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl Serialize for McmcCurveFit

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl TryInto<McmcCurveFit> for CurveFitAlgorithm

type Error = &'static str

The type returned in the event of a conversion error.

fn try_into(
    self
) -> Result<McmcCurveFit, <Self as TryInto<McmcCurveFit>>::Error>

Performs the conversion.