sklearn.gaussian_process.kernels
.Hyperparameter¶
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class
sklearn.gaussian_process.kernels.
Hyperparameter
[source]¶ 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.
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__init__
($self, /, *args, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
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__call__
($self, /, *args, **kwargs)¶ Call self as a function.
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bounds
¶ Alias for field number 2
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count
($self, value, /)¶ Return number of occurrences of value.
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fixed
¶ Alias for field number 4
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index
($self, value, start=0, stop=sys.maxsize, /)¶ Return first index of value.
Raises ValueError if the value is not present.
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n_elements
¶ Alias for field number 3
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name
¶ Alias for field number 0
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value_type
¶ Alias for field number 1
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