Class: Generator

Generator()

new Generator()

Source:

random.Generator.mjs, line 53

Classes

Generator

Methods

choice(a, size, replace, p, axis) → {NDArray}

Parameters:

Name	Type	Default	Description
`a`	*
`size`	*	null
`replace`	*	true
`p`	*	null
`axis`	*	0

Source:

random.Generator.mjs, line 95

Returns:

Type: NDArray

integers(low, highopt, sizeopt, endpointopt) → {NDArray}

Parameters:

Name	Type	Attributes	Default	Description
`low`	number
`high`	number	<optional>	null
`size`	number	<optional>	null
`endpoint`	boolean	<optional>	false

Source:

random.Generator.mjs, line 65

Returns:

Type: NDArray

normal(locopt, scaleopt, sizeopt) → {NDArray}

Parameters:

Name	Type	Attributes	Default	Description
`loc`	number	<optional>	0
`scale`	number	<optional>	1
`size`	null \| number	<optional>	null

Source:

random.Generator.mjs, line 232

Returns:

Type: NDArray

permutation(a, axis) → {NDArray}

Parameters:

Name	Type	Default	Description
`a`	*
`axis`	*	0

Source:

random.Generator.mjs, line 206

Returns:

Type: NDArray

permuted(a, axis, out) → {NDArray}

Parameters:

Name	Type	Default	Description
`a`	*
`axis`	*	null
`out`	*	null

Source:

random.Generator.mjs, line 183

Returns:

Type: NDArray

random(size, out) → {NDArray}

Parameters:

Name	Type	Default	Description
`size`	*	null
`out`	*	null

Source:

random.Generator.mjs, line 82

Returns:

Type: NDArray

shuffle(a, axis)

Parameters:

Name	Type	Default	Description
`a`	*
`axis`	*	0

Source:

random.Generator.mjs, line 150

uniform(low, high, size) → {NDArray}

Parameters:

Name	Type	Default	Description
`low`	*	0
`high`	*	1
`size`	*	null

Source:

random.Generator.mjs, line 220

Returns:

Type: NDArray