Struct openml::SupervisedRegression

pub struct SupervisedRegression { /* fields omitted */ }

Regression task

Methods

impl SupervisedRegression

pub fn from_json(task_json: &Value) -> Self

impl SupervisedRegression

pub fn from_openml<'a, T: Id>(id: T) -> StdResult<Self, Error>

impl SupervisedRegression

pub fn id(&self) -> &str

get task ID

pub fn name(&self) -> &str

get task name

pub fn run_static<X, Y, F, M>(&self, flow: F) -> M where     F: Fn(&mut Iterator<Item = (&X, &Y)>, &mut Iterator<Item = &X>) -> Box<Iterator<Item = Y>>,     X: DeserializeOwned,     Y: DeserializeOwned,     M: MeasureAccumulator<Y>,

run task, specifying the type of an entire feature column in X. This allows to run machine learning models that take features of different types, or named features in form of structs.

pub fn run<X, Y, F, M>(&self, flow: F) -> M where     F: Fn(&mut Iterator<Item = (&[X], &Y)>, &mut Iterator<Item = &[X]>) -> Box<Iterator<Item = Y>>,     X: DeserializeOwned,     Y: DeserializeOwned,     M: MeasureAccumulator<Y>,

run task, specifying the feature type in X. This allows to run machine learning models that expect every feature to have the same type.