Vector (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Vector Module

Namespace: FSharp.Stats
Assembly: FSharp.Stats.dll
Parent Module: DistanceMetrics

Functions and values

Function or value	Description
`cityblock v1 v2` Full Usage: `cityblock v1 v2` Parameters: v1 : `Vector<^a>` - v2 : `Vector<^a>` - Returns: `float` Modifiers: inline Type parameters: ^a	Cityblock distance of two vectors v1 : `Vector<^a>` v2 : `Vector<^a>` Returns: `float` Example
`cityblockNaN v1 v2` Full Usage: `cityblockNaN v1 v2` Parameters: v1 : `Vector<float>` - v2 : `Vector<float>` - Returns: `float` Modifiers: inline	Cityblock distance of two vectors v1 : `Vector<float>` v2 : `Vector<float>` Returns: `float` Example
`euclidean v1 v2` Full Usage: `euclidean v1 v2` Parameters: v1 : `Vector<^a>` v2 : `Vector<^a>` Returns: `float` Modifiers: inline Type parameters: ^a	v1 : `Vector<^a>` v2 : `Vector<^a>` Returns: `float`
`euclideanNaN v1 v2` Full Usage: `euclideanNaN v1 v2` Parameters: v1 : `Vector<float>` - v2 : `Vector<float>` - Returns: `float`	Euclidean distance between 2 vectors (ignores nan) v1 : `Vector<float>` v2 : `Vector<float>` Returns: `float` Example
`euclideanSquared v1 v2` Full Usage: `euclideanSquared v1 v2` Parameters: v1 : `Vector<^a>` - v2 : `Vector<^a>` - Returns: `float` Modifiers: inline Type parameters: ^a	Squared Euclidean distance between 2 vectors v1 : `Vector<^a>` v2 : `Vector<^a>` Returns: `float` Example
`hamming v1 v2` Full Usage: `hamming v1 v2` Parameters: v1 : `Vector<'a>` - first vector v2 : `Vector<'a>` - second vector Returns: `int` Hamming distance between elements of given vectors Modifiers: inline Type parameters: 'a	Calculates Hamming distance between 2 vectors Note, distance between Nan and Nan is equal to 1 v1 : `Vector<'a>` first vector v2 : `Vector<'a>` second vector Returns: `int` Hamming distance between elements of given vectors Example `// e.g. v1 and v2 initialization let v1 = vector [1; 2; 3] let s2 = vector [9; 2; 3] // Apply the hamming to v1 and v2 Vector.hamming v1 v2` val v1: obj val s2: obj
`minkowski v1 v2 p` Full Usage: `minkowski v1 v2 p` Parameters: v1 : `Vector<float>` - first vector v2 : `Vector<float>` - second vector p : `float` - float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given vectors. Returns NaN if vectors contain NaN. Modifiers: inline	The [Minkowski distance](https://en.wikipedia.org/wiki/Minkowski_distance) between two vectors of order `p`. The two vectors need not have equal lengths: when one vectors is exhausted any remaining elements in the other vectors are ignored. v1 : `Vector<float>` first vector v2 : `Vector<float>` second vector p : `float` float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given vectors. Returns NaN if vectors contain NaN. Example `// e.g. v1 and v2 initialization let v1 = vector [3.14; 2.0; 3.1] let v2 = vector [9.1; 2.5; 3.7] // Apply the minkowski distance to v1 and v2 Vector.minkowski v1 v2 3` val v1: obj val v2: obj
`minkowskiNaN v1 v2 p` Full Usage: `minkowskiNaN v1 v2 p` Parameters: v1 : `Vector<float>` - first vector v2 : `Vector<float>` - second vector p : `float` - float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given vectors. Modifiers: inline	The [Minkowski distance](https://en.wikipedia.org/wiki/Minkowski_distance) between two vectors (ignores NaN) of order `p`. Non-regular differences between the sequences are ignored. The two vectors need not have equal lengths: when one vectors is exhausted any remaining elements in the other vectors are ignored. v1 : `Vector<float>` first vector v2 : `Vector<float>` second vector p : `float` float constrained to `p > 0` Returns: `float option` Minkowski distance between elements of given vectors. Example `// e.g. v1 and v2 initialization let v1 = vector [3.14; 2.0; 3.1] let v2 = vector [9.1; 2.5; 3.7] // Apply the minkowski distance to v1 and v2 Vector.minkowskiNaN v1 v2 3` val v1: obj val v2: obj