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 = 0.1, 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

This method supports both boundaries and priors while doesn’t use the function derivatives if not required by fine_tuning_algorithm

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

Converts to this type from the input type.

impl JsonSchema for McmcCurveFit

fn schema_name() -> String

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

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.