Struct SpectralModel 

pub struct SpectralModel {
    pub eigenvectors: Array2<f64>,
    pub eigenvalues: Array1<f64>,
    pub labels: Array1<usize>,
    pub n_clusters: usize,
    pub affinity: String,
    pub gamma: Option<f64>,
}

Spectral clustering model that can be serialized

Fields

eigenvectors: Array2<f64>

Eigenvectors used for clustering

eigenvalues: Array1<f64>

Eigenvalues

labels: Array1<usize>

Cluster labels

n_clusters: usize

Number of clusters

affinity: String

Affinity matrix parameters

gamma: Option<f64>

Gamma parameter for RBF kernel

Implementations

impl SpectralModel

pub fn new( eigenvectors: Array2<f64>, eigenvalues: Array1<f64>, labels: Array1<usize>, n_clusters: usize, affinity: String, gamma: Option<f64>, ) -> Self

Create a new spectral clustering model

pub fn predict(&self, data: ArrayView2<'_, f64>) -> Result<Array1<usize>>

Predict cluster labels for new data

Trait Implementations

impl Clone for SpectralModel

fn clone(&self) -> SpectralModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl ClusteringModel for SpectralModel

fn n_clusters(&self) -> usize

Get the number of clusters

fn predict(&self, data: ArrayView2<'_, f64>) -> Result<Array1<usize>>

Predict cluster labels for new data

fn summary(&self) -> Result<Value>

Get model summary as JSON

impl Debug for SpectralModel

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for SpectralModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl SerializableModel for SpectralModel

fn save_to_file<P: AsRef<Path>>(&self, path: P) -> Result<()>

Save the model to a file

fn save_to_writer<W: Write>(&self, writer: W) -> Result<()>

Save the model to a writer

fn save_to_file_compressed<P: AsRef<Path>>(&self, path: P) -> Result<()>

Save the model to a file with compression

fn load_from_file_compressed<P: AsRef<Path>>(path: P) -> Result<Self>

Load the model from a compressed file

fn load_from_file<P: AsRef<Path>>(path: P) -> Result<Self>

Load the model from a file

fn load_from_reader<R: Read>(reader: R) -> Result<Self>

Load the model from a reader

impl Serialize for SpectralModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.