Struct TFVector 

pub struct TFVector<N, K>
where
    N: Num + Copy,
{
    pub tf_vec: ZeroSpVec<N>,
    pub token_sum: u64,
    pub denormalize_num: f64,
    pub key: K,
}

Fields

tf_vec: ZeroSpVec<N>

TF Vector use sparse vector

token_sum: u64

sum of tokens of this document

denormalize_num: f64

denormalize number for this document for reverse calculation to get token counts from tf values

key: K

Document ID

Implementations

impl<N, K> TFVector<N, K>

where N: Num + Copy,

pub fn shrink_to_fit(&mut self)

Trait Implementations

impl<N, K: Debug> Debug for TFVector<N, K>

where N: Num + Copy + Debug,

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

Formats the value using the given formatter.

impl<'de, N, K> Deserialize<'de> for TFVector<N, K>

where N: Num + Copy + Deserialize<'de>, K: Deserialize<'de>,

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<N, K> Serialize for TFVector<N, K>

where N: Num + Copy + Serialize, K: Serialize,

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

where __S: Serializer,

Serialize this value into the given Serde serializer.