102 lines
3 KiB
Rust
102 lines
3 KiB
Rust
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use crate::err::Error;
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use crate::fnc::util::math::dotproduct::DotProduct;
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use crate::fnc::util::math::magnitude::Magnitude;
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use crate::sql::{Number, Value};
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pub fn dotproduct((a, b): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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match a.dotproduct(&b) {
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None => Err(Error::InvalidArguments {
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name: String::from("vector::dotproduct"),
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message: String::from("The two vectors must be of the same length."),
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}),
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Some(dot) => Ok(dot.into()),
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}
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}
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pub fn magnitude((a,): (Vec<Number>,)) -> Result<Value, Error> {
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Ok(a.magnitude().into())
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}
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pub mod distance {
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use crate::err::Error;
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use crate::fnc::util::math::euclideandistance::EuclideanDistance;
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use crate::sql::{Number, Value};
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pub fn chebyshev((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::distance::chebyshev() function",
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})
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}
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pub fn euclidean((a, b): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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match a.euclidean_distance(&b) {
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None => Err(Error::InvalidArguments {
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name: String::from("vector::distance::euclidean"),
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message: String::from("The two vectors must be of the same length."),
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}),
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Some(distance) => Ok(distance.into()),
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}
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}
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pub fn hamming((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::distance::hamming() function",
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})
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}
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pub fn mahalanobis((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::distance::mahalanobis() function",
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})
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}
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pub fn manhattan((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::distance::manhattan() function",
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})
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}
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pub fn minkowski((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::distance::minkowski() function",
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})
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}
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}
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pub mod similarity {
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use crate::err::Error;
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use crate::fnc::util::math::dotproduct::DotProduct;
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use crate::fnc::util::math::magnitude::Magnitude;
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use crate::sql::{Number, Value};
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pub fn cosine((a, b): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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match a.dotproduct(&b) {
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None => Err(Error::InvalidArguments {
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name: String::from("vector::similarity::cosine"),
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message: String::from("The two vectors must be of the same length."),
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}),
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Some(dot) => Ok((dot / (a.magnitude() * b.magnitude())).into()),
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}
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}
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pub fn jaccard((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::similarity::jaccard() function",
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})
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}
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pub fn pearson((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::similarity::pearson() function",
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})
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}
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pub fn spearman((_, _): (Vec<Number>, Vec<Number>)) -> Result<Value, Error> {
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Err(Error::FeatureNotYetImplemented {
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feature: "vector::similarity::spearman() function",
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})
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}
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}
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