rand
Default random
inline fun <reified T : Number> Multik.rand(dim0: Int): D1Array<T>
inline fun <reified T : Number> Multik.rand(dim0: Int, dim1: Int): D2Array<T>
inline fun <reified T : Number> Multik.rand(dim0: Int, dim1: Int, dim2: Int): D3Array<T>
inline fun <reified T : Number> Multik.rand(
dim0: Int, dim1: Int, dim2: Int, dim3: Int
): D4Array<T>
From shape array
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
shape: IntArray
): NDArray<T, D>
Default distribution by type:
Type | Range |
|---|---|
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Random in range
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
from: T, until: T, vararg dims: Int
): NDArray<T, D>
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
from: T, until: T, dims: IntArray
): NDArray<T, D>
Generates values uniformly distributed in [from, until).
Random with seed
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
seed: Int, from: T, until: T, vararg dims: Int
): NDArray<T, D>
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
seed: Int, from: T, until: T, dims: IntArray
): NDArray<T, D>
Random with generator
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
gen: Random, from: T, until: T, vararg dims: Int
): NDArray<T, D>
inline fun <reified T : Number, reified D : Dimension> Multik.rand(
gen: Random, from: T, until: T, dims: IntArray
): NDArray<T, D>
Parameters
Parameter | Type | Description |
|---|---|---|
|
| Axis sizes. Must be positive. |
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| Shape of the output array. |
|
| Lower bound (inclusive). |
|
| Upper bound (exclusive). |
|
| Seed for the random generator. |
|
| Custom |
Example
val a = mk.rand<Double>(3, 3) // 3×3, values in [0.0, 1.0)
val b = mk.rand<Int, D1>(from = 1, until = 100, 10) // 10 ints in [1, 100)
val c = mk.rand<Double, D2>(42, 0.0, 1.0, 3, 3) // seeded 3×3
19 February 2026