Random (dfx)

Random Type

Namespace: Dfx.Util
Assembly: Dfx.Core.dll
Base Type: obj

Contains operations relating to pseudo-random number generation.

Constructors

Constructor	Description
`Random()` Full Usage: `Random()` Returns: `Random`	Returns: `Random`

Static members

Static member	Description
`Random.Bernoulli()` Full Usage: `Random.Bernoulli()` Returns: `float`	Samples a random value from the Bernoulli distribution. Returns: `float`
`Random.Bernoulli(prob)` Full Usage: `Random.Bernoulli(prob)` Parameters: prob : `float` Returns: `float`	Samples a random value from the Bernoulli distribution with the given probability. prob : `float` Returns: `float`
`Random.Choice(array, probs)` Full Usage: `Random.Choice(array, probs)` Parameters: array : `'a[]` probs : `float[]` Returns: `'a` Type parameters: 'a	Samples a value at random from the given array using the given categorical probabilities. array : `'a[]` probs : `float[]` Returns: `'a`
`Random.Choice(array)` Full Usage: `Random.Choice(array)` Parameters: array : `'a[]` Returns: `'a` Type parameters: 'a	Samples a value at random from the given array. array : `'a[]` Returns: `'a`
`Random.ChoiceIndex(probs)` Full Usage: `Random.ChoiceIndex(probs)` Parameters: probs : `float[]` Returns: `int`	Samples an index at random with the given categorical probabilities. probs : `float[]` Returns: `int`
`Random.Double(low, high)` Full Usage: `Random.Double(low, high)` Parameters: low : `float` high : `float` Returns: `float`	Samples a double value in the given range [low, high) low : `float` high : `float` Returns: `float`
`Random.Double()` Full Usage: `Random.Double()` Returns: `float`	Samples a double value in the range [0, 1) Returns: `float`
`Random.Integer(low, high)` Full Usage: `Random.Integer(low, high)` Parameters: low : `int` high : `int` Returns: `int`	Samples a random integer in the given range [low, high). low : `int` high : `int` Returns: `int`
`Random.Integer()` Full Usage: `Random.Integer()` Returns: `int`	Samples a non-negative random integer Returns: `int`
`Random.Multinomial(probs, numSamples)` Full Usage: `Random.Multinomial(probs, numSamples)` Parameters: probs : `float[,]` numSamples : `int` Returns: `int[,]`	Returns a 2D array where each row contains `numSamples` indices sampled from the multinomial probability distribution defined by the probabilities in the corresponding row of the `probs` array. probs : `float[,]` numSamples : `int` Returns: `int[,]`
`Random.Multinomial(probs, numSamples)` Full Usage: `Random.Multinomial(probs, numSamples)` Parameters: probs : `float[]` numSamples : `int` Returns: `int array`	Samples a number of random values array of random values for the given weighted distribution probs : `float[]` numSamples : `int` Returns: `int array`
`Random.Normal(mean, stddev)` Full Usage: `Random.Normal(mean, stddev)` Parameters: mean : `float` stddev : `float` Returns: `float`	Samples a random value from the normal distribution with the given mean and standard deviation. mean : `float` stddev : `float` Returns: `float`
`Random.Normal()` Full Usage: `Random.Normal()` Returns: `float`	Samples a random value from the standard normal distribution with mean 0 and standard deviation 1. Returns: `float`
`Random.Seed(seed)` Full Usage: `Random.Seed(seed)` Parameters: seed : `int`	Sets the random seed. seed : `int`
`Random.Shuffle(array)` Full Usage: `Random.Shuffle(array)` Parameters: array : `'a[]` Returns: `'a array` Type parameters: 'a	Returns an array that is a randomly-shuffled version of the given array, using the Durstenfeld/Knuth shuffle. array : `'a[]` Returns: `'a array`
`Random.UUID()` Full Usage: `Random.UUID()` Returns: `string`	Returns a universally unique identifier (UUID) string Returns: `string`
`Random.Uniform(low, high)` Full Usage: `Random.Uniform(low, high)` Parameters: low : `float` high : `float` Returns: `float`	Samples a random value from the uniform distribution with the given parameters [low, high). low : `float` high : `float` Returns: `float`
`Random.Uniform()` Full Usage: `Random.Uniform()` Returns: `float`	Samples a random value from the standard uniform distribution over the interval [0,1). Returns: `float`

© Copyright 2021, DiffSharp and dfx Contributors.