ex_math library

Support for doing something awesome.

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Classes

Clustering

Distances

GEO

Similaities

Constants

EARTH_RADIUS_KM → const double

Earths radius in Kilometers

EARTH_RADIUS_M → const double

Earths radius in Meters

Functions

cosCurve({required num value, required num fs}) → num

cosh({required num value}) → num

cov({required List<num> values1, required List<num> values2, int? n, bool sample = true}) → num

degrees({required num radiant}) → num

elu({required num x, dynamic alpha = 1.0}) → num

gelu({required num x}) → num

leakyRelu({required num x, num alpha = 0.01}) → num

mean({required List<num> values}) → num

radians({required num degree}) → num

relu({required num x}) → num

sigm({required num value}) → num

sinCurve({required num value, required num fs}) → num

sinh({required num value}) → num

softMax({required List<num> values}) → List<num>

softMaxIndex({required List<num> values, required int index}) → num

stdDeviation({required List<num> values, bool sample = true}) → num

tanCurve({required num value, required dynamic fs}) → num

tanh({required num value}) → num

variance({required List<num> values, bool sample = true}) → num

Typedefs

LatLon = ({num lat, num lon})

Vecotr3D = ({num x, num y, num z})

Vector2D = ({num x, num y})