Enum ICAAlgorithm 

pub enum ICAAlgorithm {
    Parallel,
    Deflation,
    Infomax,
    NaturalGradient,
    Temporal,
    Constrained,
}

ICA algorithm variants

Variants

Parallel

Parallel FastICA algorithm

Deflation

Deflation FastICA algorithm

Infomax

Infomax ICA algorithm using maximum likelihood

NaturalGradient

Natural gradient ICA algorithm

Temporal

Temporal ICA for time series data

Constrained

Constrained ICA for semi-supervised learning

Trait Implementations

impl Clone for ICAAlgorithm

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for ICAAlgorithm

impl Debug for ICAAlgorithm

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

Formats the value using the given formatter.

impl Default for ICAAlgorithm

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ICAAlgorithm

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for ICAAlgorithm

impl PartialEq for ICAAlgorithm

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for ICAAlgorithm

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 ICAAlgorithm