DimensionalityReductionMethod

Enum DimensionalityReductionMethod 

Source
pub enum DimensionalityReductionMethod<F> {
    AdvancedPCA {
        algorithm: PCAVariant,
        n_components: usize,
        regularization: Option<F>,
    },
    ICA {
        _algorithm: ICAAlgorithm,
        n_components: usize,
        _max_iter: usize,
        tolerance: F,
    },
    NMF {
        n_components: usize,
        regularization: F,
        max_iter: usize,
    },
    TSNE {
        n_components: usize,
        perplexity: F,
        early_exaggeration: F,
        learning_rate: F,
        max_iter: usize,
    },
    UMAP {
        n_components: usize,
        n_neighbors: usize,
        min_dist: F,
        spread: F,
    },
    DiffusionMaps {
        n_components: usize,
        sigma: F,
        alpha: F,
    },
    Autoencoder {
        layers: Vec<usize>,
        activation: ActivationFunction,
        regularization: F,
    },
    VariationalAutoencoder {
        latent_dim: usize,
        encoder_layers: Vec<usize>,
        decoder_layers: Vec<usize>,
    },
}
Expand description

Advanced dimensionality reduction methods

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AdvancedPCA

Enhanced PCA with advanced features

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§algorithm: PCAVariant
§n_components: usize
§regularization: Option<F>
§

ICA

Independent Component Analysis

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§_algorithm: ICAAlgorithm
§n_components: usize
§_max_iter: usize
§tolerance: F
§

NMF

Non-negative Matrix Factorization

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§n_components: usize
§regularization: F
§max_iter: usize
§

TSNE

t-SNE for non-linear dimensionality reduction

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§n_components: usize
§perplexity: F
§early_exaggeration: F
§learning_rate: F
§max_iter: usize
§

UMAP

UMAP for scalable non-linear reduction

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§n_components: usize
§n_neighbors: usize
§min_dist: F
§spread: F
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DiffusionMaps

Diffusion Maps

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§n_components: usize
§sigma: F
§alpha: F
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Autoencoder

Autoencoders for deep dimensionality reduction

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§layers: Vec<usize>
§regularization: F
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VariationalAutoencoder

Variational Autoencoders

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§latent_dim: usize
§encoder_layers: Vec<usize>
§decoder_layers: Vec<usize>

Trait Implementations§

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impl<F: Clone> Clone for DimensionalityReductionMethod<F>

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fn clone(&self) -> DimensionalityReductionMethod<F>

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl<F: Debug> Debug for DimensionalityReductionMethod<F>

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

Formats the value using the given formatter. Read more

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