Struct TrainedFactorAnalysis 

pub struct TrainedFactorAnalysis {
    pub loadings: Array2<Float>,
    pub noise_variance: Array1<Float>,
    pub mean: Array1<Float>,
    pub n_samples_fit: usize,
    pub log_likelihood: Float,
    pub n_iter: usize,
}

Fitted factor analysis state stored inside FactorAnalysis<TrainedFactorAnalysis>.

Fields

loadings: Array2<Float>

Loading matrix W — shape (n_features, n_components)

noise_variance: Array1<Float>

Diagonal noise variances Ψ — shape (n_features,)

mean: Array1<Float>

Per-feature training mean μ — shape (n_features,)

n_samples_fit: usize

Number of samples seen during fit

log_likelihood: Float

Final log-likelihood

n_iter: usize

Number of EM iterations run

Trait Implementations

impl Clone for TrainedFactorAnalysis

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainedFactorAnalysis

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainedFactorAnalysis

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for TrainedFactorAnalysis

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

where __S: Serializer,

Serialize this value into the given Serde serializer.