Struct MiniBatchDictionaryLearning 

pub struct MiniBatchDictionaryLearning {
    pub components: Array2<f64>,
    pub n_components: usize,
    pub alpha: f64,
    pub batch_size: usize,
    pub n_iter: usize,
}

Fitted MiniBatchDictionaryLearning.

Fields

components: Array2<f64>

Dictionary (n_components × d).

n_components: usize

Kept rank.

alpha: f64

L1 penalty α used.

batch_size: usize

Batch size.

n_iter: usize

Iterations run.

Implementations

impl MiniBatchDictionaryLearning

pub fn fit(x: ArrayView2<'_, f64>, n_components: usize) -> Result<Self>

Fit with sklearn defaults alpha = 1.0, batch_size = 3, max_iter = 100, tol = 1e-3.

pub fn fit_with( x: ArrayView2<'_, f64>, n_components: usize, alpha: f64, batch_size: usize, max_iter: usize, tol: f64, seed: u64, ) -> Result<Self>

Full-configuration fit.

Trait Implementations

impl Clone for MiniBatchDictionaryLearning

fn clone(&self) -> MiniBatchDictionaryLearning

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MiniBatchDictionaryLearning

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MiniBatchDictionaryLearning

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for MiniBatchDictionaryLearning

fn eq(&self, other: &MiniBatchDictionaryLearning) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for MiniBatchDictionaryLearning

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for MiniBatchDictionaryLearning