coopihc.base.Space.Space

class Space(low=None, high=None, array=None, N=None, _function=None, seed=None, dtype=None, contains='numpy')[source]

Bases: object

_summary_

Parameters

low (see Numeric<coopihc.base.Space.Numeric>, optional) – see Numeric<coopihc.base.Space.Numeric>, defaults to None
high (see Numeric<coopihc.base.Space.Numeric>, optional) – see Numeric<coopihc.base.Space.Numeric>, defaults to None
array (see CatSet<coopihc.base.Space.CatSet>, optional) – see CatSet<coopihc.base.Space.CatSet>, defaults to None
N (for future, optional) – for future, defaults to None
_function (for future, optional) – for future, defaults to None

Returns

A CoopIHC space

Return type

Numeric<coopihc.base.Space.Numeric> or CatSet<coopihc.base.Space.CatSet>

Methods

cartesian_product

Computes the cartesian product of the spaces provided in input.

static cartesian_product(*spaces)[source]

Computes the cartesian product of the spaces provided in input. For this method, continuous spaces are treated as singletons {None}.

s = space(array=numpy.array([1, 2, 3], dtype=numpy.int16))
q = space(array=numpy.array([-3, -2, -1], dtype=numpy.int16))
cp, shape = cartesian_product(s, q)
assert (
    cp
    == numpy.array(
        [
            [1, -3],
            [1, -2],
            [1, -1],
            [2, -3],
            [2, -2],
            [2, -1],
            [3, -3],
            [3, -2],
            [3, -1],
        ]
    )
).all()

Returns: cartesian product and shape of associated spaces
Return type: tuple(numpy.ndarray, list(tuples))