LogisticRegression

Undocumented in source.

class LogisticRegression (

T

size_t InputDim

size_t OutputDim

UseGradient useGrad = UseGradient.yes

) {

Linear!(T, InputDim, OutputDim, useGrad) weights;

alias parameters = AliasSeq!(weights);

void fit(Tuple!(T[], T[])[] train, Tuple!(T[], T[])[] test, LogisticFitOptions options);

void save(string modelDirPath);

void load(string modelDirPath);

T[] predict(T[] input);

T[][] predict(T[][] inputs);

}

Constructors

this this(): Undocumented in source.

Members

Aliases

parameters alias parameters = AliasSeq!(weights): Undocumented in source.

Functions

fit void fit(Tuple!(T[], T[])[] train, Tuple!(T[], T[])[] test, LogisticFitOptions options): Undocumented in source. Be warned that the author may not have intended to support it.
load void load(string modelDirPath): Undocumented in source. Be warned that the author may not have intended to support it.
predict T[] predict(T[] input): Undocumented in source.
predict T[][] predict(T[][] inputs): Undocumented in source.
save void save(string modelDirPath): Undocumented in source. Be warned that the author may not have intended to support it.

Variables

weights Linear!(T, InputDim, OutputDim, useGrad) weights;: Undocumented in source.

Meta

Source

See Implementation

golem models linear classes

LogisticRegression

structs

LogisticFitOptions