MixtureOptimizer

abstract

class MixtureOptimizer (

T

) if (

isFloatingPoint!T

) {

import std.datetime;;

SlidingWindow!T _featuresT;

T[] _weights;

T[] _mixture;

this(size_t k, size_t maxLength);

void eval(bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

void update();

void evaluate(size_t itersCount, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

Tuple!(TickDuration, "duration", size_t, "itersCount") evaluate(TickDuration time, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

void optimize(T delegate(in T[] mixture) objectiveFunction, bool delegate(T objectiveFunctionValuePrev, T objectiveFunctionValue, in T[] weightsPrev, in T[] weights) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

void optimize(T delegate(in T[] mixture) objectiveFunction, bool delegate(T objectiveFunctionValuePrev, T objectiveFunctionValue) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

void optimize(bool delegate(in T[] weightsPrev, in T[] weights) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance);

void put(Range features);

void put(RangeOfRanges featuresROR);

size_t length();

size_t maxLength();

void reset();

void popFront();

void popFrontN(size_t n);

Matrix!(const(T)) features();

const(T)[] mixture();

const(T)[] weights();

void weights(Range _weights);

void updateMixture();

void updateMixtureBack();

void updateMixtureBackN(size_t n);

void updateMixturePopBack();

void updateMixturePopBackN(size_t n);

}

Constructors

this this(size_t k, size_t maxLength): Constructor

Members

Functions

eval void eval(bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Perform k (1) iterations of coordinate (gradient or EM) descent optimization algorithm.
evaluate void evaluate(size_t itersCount, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Perform itersCount iterations of eval.
evaluate Tuple!(TickDuration, "duration", size_t, "itersCount") evaluate(TickDuration time, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Perform eval during time.
features Matrix!(const(T)) features()
length size_t length()
maxLength size_t maxLength()
mixture const(T)[] mixture()
optimize void optimize(T delegate(in T[] mixture) objectiveFunction, bool delegate(T objectiveFunctionValuePrev, T objectiveFunctionValue, in T[] weightsPrev, in T[] weights) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Performs optimization.
optimize void optimize(T delegate(in T[] mixture) objectiveFunction, bool delegate(T objectiveFunctionValuePrev, T objectiveFunctionValue) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Performs optimization.
optimize void optimize(bool delegate(in T[] weightsPrev, in T[] weights) tolerance, bool delegate(T a, T b) @(nogc) nothrow findRootTolerance): Performs optimization.
popFront void popFront(): Remove one front feature for each component.
popFrontN void popFrontN(size_t n): Remove n front features for each component.
put void put(Range features): Puts back new feature for each components.
put void put(RangeOfRanges featuresROR): Puts back new features for each components.
reset void reset(): Reset length of features to zero.
update void update(): update method is called when mixture changes occur.
updateMixture void updateMixture(): Undocumented in source. Be warned that the author may not have intended to support it.
updateMixtureBack void updateMixtureBack(): Undocumented in source.
updateMixtureBackN void updateMixtureBackN(size_t n): Undocumented in source.
updateMixturePopBack void updateMixturePopBack(): Undocumented in source.
updateMixturePopBackN void updateMixturePopBackN(size_t n): Undocumented in source.
weights const(T)[] weights()
weights void weights(Range _weights): Set the mixture weights and calls update.

Variables

_featuresT SlidingWindow!T _featuresT;: Undocumented in source.
_mixture T[] _mixture;: Undocumented in source.
_weights T[] _weights;: Undocumented in source.

Meta

Source

See Implementation

atmosphere mixture classes

functions

_likelihood_

interfaces

LikelihoodAscent

mixin templates

LikelihoodAscentTemplate