Trait smartcore::api::SupervisedEstimator
source · pub trait SupervisedEstimator<X, Y, P>: Predictor<X, Y> {
// Required methods
fn new() -> Self;
fn fit(x: &X, y: &Y, parameters: P) -> Result<Self, Failed>
where Self: Sized,
P: Clone;
}Expand description
An estimator for supervised learning, that provides method fit to learn from data and training values
Required Methods§
sourcefn new() -> Self
fn new() -> Self
Empty constructor, instantiate an empty estimator. Object is dropped as soon as fit() is called.
used to pass around the correct fit() implementation.
by calling ::fit(). mostly used to be used with model_selection::cross_validate(...)
sourcefn fit(x: &X, y: &Y, parameters: P) -> Result<Self, Failed>where
Self: Sized,
P: Clone,
fn fit(x: &X, y: &Y, parameters: P) -> Result<Self, Failed>where Self: Sized, P: Clone,
Fit a model to a training dataset, estimate model’s parameters.
x- NxM matrix with N observations and M features in each observation.y- target training values of size N.parameters- hyperparameters of an algorithm