Enum RandomProjectionReduction

pub enum RandomProjectionReduction {
    JohnsonLindenstrauss {
        epsilon: OpenClosedUnit<f64>,
    },
    Explicit {
        k: NonZeroUsize,
    },
}

Method with which the reduced dimensionality K is selected

Variants

JohnsonLindenstrauss

The reduced dimensionality K is derived from epsilon, as defined by the Johnson-Lindenstrauss lemma.

Fields

epsilon: OpenClosedUnit<f64>

Maximum distortion rate

Explicit

The reduced dimensionality K, to which the data is projected, is given explicitly.

Fields

k: NonZeroUsize

Reduced dimensionality

Trait Implementations

impl Clone for RandomProjectionReduction

fn clone(&self) -> RandomProjectionReduction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<'de> Deserialize<'de> for RandomProjectionReduction

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for RandomProjectionReduction

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn always_inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.

impl Serialize for RandomProjectionReduction

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

where __S: Serializer,

Serialize this value into the given Serde serializer.