sklearn.gaussian_process.kernels.Hyperparameter

class sklearn.gaussian_process.kernels.Hyperparameter

A kernel hyperparameter’s specification in form of a namedtuple.

New in version 0.18.

Attributes

name	(string) The name of the hyperparameter. Note that a kernel using a hyperparameter with name “x” must have the attributes self.x and self.x_bounds
value_type	(string) The type of the hyperparameter. Currently, only “numeric” hyperparameters are supported.
bounds	(pair of floats >= 0 or “fixed”) The lower and upper bound on the parameter. If n_elements>1, a pair of 1d array with n_elements each may be given alternatively. If the string “fixed” is passed as bounds, the hyperparameter’s value cannot be changed.
n_elements	(int, default=1) The number of elements of the hyperparameter value. Defaults to 1, which corresponds to a scalar hyperparameter. n_elements > 1 corresponds to a hyperparameter which is vector-valued, such as, e.g., anisotropic length-scales.
fixed	(bool, default: None) Whether the value of this hyperparameter is fixed, i.e., cannot be changed during hyperparameter tuning. If None is passed, the “fixed” is derived based on the given bounds.

Methods

count($self, value, /)	Return number of occurrences of value.
index($self, value[, start, stop])	Return first index of value.

__init__($self, /, *args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

__call__($self, /, *args, **kwargs)

Call self as a function.

bounds

Alias for field number 2

count($self, value, /)

Return number of occurrences of value.

fixed

Alias for field number 4

index($self, value, start=0, stop=sys.maxsize, /)

Return first index of value.

Raises ValueError if the value is not present.

n_elements

Alias for field number 3

name

Alias for field number 0

value_type

Alias for field number 1