Expand description
Spaces: runtime-defined types
In addition to the spaces defined here,
a product space can be derived on structures containing inner spaces with
#[derive(ProductSpace)].
Structs
A Cartesian product of N spaces of the same type (but not necessarily the same space).
The space {false, true}.
An index space; consists of the integers 0 to size - 1
A space defined over an indexed type.
A closed interval on bounded, partially ordered types.
A space of n-dimensional Arrays of elements from a single space.
Wrapper space with a feature vector length of at least 1.
A space whose elements are either None or Some(inner_elem).
A Cartesian power of a space: a Cartesian product of N copies of the same space.
A space containing a single element.
Cartesian product of two spaces; elements are tuples
Cartesian product of three spaces; elements are tuples
Cartesian product of four spaces; elements are tuples
Cartesian product of five spaces; elements are tuples
Traits
A space whose elements can be encoded as floating-point feature vectors.
A space containing finitely many elements.
An indexed set of finitely many possibilities.
A space whose elements can be logged to a StatsLogger
A space containing at least one element.
A space whose elements parameterize a distribution
A space whose elements can be represented as value of type T
A space from which samples can be drawn.
A space: a set of values with some added structure.
Compare this space to another in terms of the subset relation.
Functions
Helper function to determine the subset ordering of a product space with any number of factors.
Helper function to determine the subset ordering of a product of two spaces.
Type Definitions
One-dimensional NdArraySpace
Two-dimensional NdArraySpace
Three-dimensional NdArraySpace
A wrapper space that boxes the elements of an inner space.
Derive Macros
Derive relearn::spaces::FiniteSpace for a struct as a Cartesian product space of its fields.
Derive relearn::spaces::Indexed for an enum without internal data.
Derive relearn::spaces::LogElementSpace for a struct.
Derive Space and other space traits for a struct as a Cartesian product space of its fields.
Derive relearn::spaces::SampleSpace for a struct as a Cartesian product space of its fields.
Derive relearn::spaces::Space for a struct as a Cartesian product space of its fields.
Derive relearn::spaces::SubsetOrd for a struct as a Cartesian product space of its fields.