Struct DimensionalityAnalysisWorkflow 

pub struct DimensionalityAnalysisWorkflow {
    pub n_pca_components: Option<usize>,
    pub n_factors: Option<usize>,
    pub use_incremental_pca: bool,
    pub pca_batchsize: usize,
    pub random_seed: Option<u64>,
}

Dimensionality reduction and analysis workflow

Fields

n_pca_components: Option<usize>

Number of PCA components

n_factors: Option<usize>

Number of factors for factor analysis

use_incremental_pca: bool

Whether to use incremental PCA for large datasets

pca_batchsize: usize

PCA batch size (for incremental)

random_seed: Option<u64>

Random seed

Implementations

impl DimensionalityAnalysisWorkflow

pub fn new() -> Self

Create new dimensionality analysis workflow

pub fn with_pca( self, n_components: Option<usize>, incremental: bool, batchsize: usize, ) -> Self

Set PCA configuration

pub fn with_factor_analysis(self, n_factors: Option<usize>) -> Self

Set factor analysis configuration

pub fn with_seed(self, seed: u64) -> Self

Set random seed

pub fn analyze( &self, data: ArrayView2<'_, f64>, ) -> Result<DimensionalityAnalysisResult>

Perform comprehensive dimensionality analysis

Trait Implementations

impl Clone for DimensionalityAnalysisWorkflow

fn clone(&self) -> DimensionalityAnalysisWorkflow

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DimensionalityAnalysisWorkflow

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

Formats the value using the given formatter.

impl Default for DimensionalityAnalysisWorkflow

fn default() -> Self

Returns the “default value” for a type.