deephyper.skopt.space.space.Categorical

class deephyper.skopt.space.space.Categorical(categories, prior=None, transform=None, name=None)

Bases: Dimension

Search space dimension that can take on categorical values.

Parameters:

• categories (list, shape=(n_categories,)) – Sequence of possible categories.

• prior (list, shape=(categories,), default=None) – Prior probabilities for each category. By default all categories are equally likely.

• transform ("onehot", "string", "identity", "label", default="onehot") –

  • “identity”, the transformed space is the same as the original space.

  • ”string”, the transformed space is a string encoded representation of the original space.

  • ”label”, the transformed space is a label encoded representation (integer) of the original space.

  • ”onehot”, the transformed space is a one-hot encoded representation of the original space.

• name (str or None) – Name associated with dimension, e.g., “colors”.

Methods

distance	Compute distance between category a and b.
inverse_transform	Inverse transform samples from the warped space back into the original space.
rvs	Draw random samples.
set_transformer	Define _rvs and transformer spaces.
transform	Transform samples form the original space to a warped space.

Attributes

bounds
is_constant
name
prior
size
transformed_bounds
transformed_size

distance(a, b)

Compute distance between category a and b.

As categories have no order the distance between two points is one if a != b and zero otherwise.

Parameters:

• a (category) – First category.

• b (category) – Second category.

inverse_transform(Xt)

Inverse transform samples from the warped space back into the original space.

rvs(n_samples=None, random_state=None)

Draw random samples.

Parameters:

• n_samples (int or None) – The number of samples to be drawn.

• random_state (int, RandomState instance, or None (default)) – Set random state to something other than None for reproducible results.

set_transformer(transform='onehot')

Define _rvs and transformer spaces.

Parameters:

transform (str) – Can be ‘normalize’, ‘onehot’, ‘string’, ‘label’, or ‘identity’

transform(X)

Transform samples form the original space to a warped space.