new RandomOptimizer(space)
A random optimization function. Sometimes competitive in practice
for hyperparameter tuning for instance.
Parameters:
| Name |
Type |
Description |
space |
Object
|
An array of dimension descriptors that are
used to specify search space or an instance of Space. |
Properties:
| Name |
Type |
Description |
X |
Array
|
An array of arguments tried. |
Y |
Array
|
An array of function values observed. The
order corresponds to the order in arguments array. |
best_x |
Array
|
An argument that results in minimal objective
function value. |
best_y |
Number
|
Minimal objective value observed. |
space |
Space
|
Optimization space over which the optimization is done. |
- Source:
Methods
ask(n)
Get the next point or array of points to evaluate.
Parameters:
| Name |
Type |
Description |
n |
Number
|
Specifies how many points should be provided by
the optimizer algorithm to try in parallel. If specified, an array
of points to evaluate is returned. If not, only a single point is
returned verbatium. |
- Source:
tell(X, Y)
Report back to the optimizer the points that were tried. Do not
really need to do it for random sampling, but this is here for
consistency with future more "intelligent" algorithms.
Parameters:
| Name |
Type |
Description |
X |
Array
|
Array of observed points. |
Y |
Array
|
Array of objective values corresponding to the
points that were evaluated. |
- Source: