Trait smartcore::api::UnsupervisedEstimator

pub trait UnsupervisedEstimator<X, P> {
    pub fn fit(x: &X, parameters: P) -> Result<Self, Failed>
    where
        Self: Sized,
        P: Clone;
}

An estimator for unsupervised learning, that provides method fit to learn from data

Required methods

pub fn fit(x: &X, 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.
• parameters - hyperparameters of an algorithm

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Implementors

impl<T: RealNumber + Sum, M: Matrix<T>> UnsupervisedEstimator<M, KMeansParameters> for KMeans<T>

pub fn fit(x: &M, parameters: KMeansParameters) -> Result<Self, Failed>

impl<T: RealNumber + Sum, M: Matrix<T>, D: Distance<Vec<T>, T>> UnsupervisedEstimator<M, DBSCANParameters<T, D>> for DBSCAN<T, D>

pub fn fit(x: &M, parameters: DBSCANParameters<T, D>) -> Result<Self, Failed>

impl<T: RealNumber, M: Matrix<T>> UnsupervisedEstimator<M, PCAParameters> for PCA<T, M>

pub fn fit(x: &M, parameters: PCAParameters) -> Result<Self, Failed>

impl<T: RealNumber, M: Matrix<T>> UnsupervisedEstimator<M, SVDParameters> for SVD<T, M>

pub fn fit(x: &M, parameters: SVDParameters) -> Result<Self, Failed>

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