Struct ScaleInvariantFeatures 

pub struct ScaleInvariantFeatures {
    pub n_components: usize,
    pub n_scales: usize,
    pub sigma: f64,
    pub contrast_threshold: f64,
    pub edge_threshold: f64,
}

Scale-invariant feature transform (SIFT-like) kernel approximation ScaleInvariantFeatures

Fields

n_components: usize

n_components

n_scales: usize

n_scales

sigma: f64

sigma

contrast_threshold: f64

contrast_threshold

edge_threshold: f64

edge_threshold

Implementations

impl ScaleInvariantFeatures

pub fn new(n_components: usize) -> Self

pub fn n_scales(self, n_scales: usize) -> Self

pub fn sigma(self, sigma: f64) -> Self

Trait Implementations

impl Clone for ScaleInvariantFeatures

fn clone(&self) -> ScaleInvariantFeatures

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ScaleInvariantFeatures

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ScaleInvariantFeatures

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for ScaleInvariantFeatures

type Fitted = FittedScaleInvariantFeatures

The fitted model type

fn fit(self, _x: &Array2<f64>, _y: &()) -> Result<Self::Fitted>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping

impl Serialize for ScaleInvariantFeatures

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

where __S: Serializer,

Serialize this value into the given Serde serializer.