optuna.distributions.IntUniformDistribution¶
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class
optuna.distributions.IntUniformDistribution(low: int, high: int, step: int = 1)[source]¶ A uniform distribution on integers.
This object is instantiated by
suggest_int(), and passed tosamplersin general.Note
If the range \([\mathsf{low}, \mathsf{high}]\) is not divisible by \(\mathsf{step}\), \(\mathsf{high}\) will be replaced with the maximum of \(k \times \mathsf{step} + \mathsf{low} \lt \mathsf{high}\), where \(k\) is an integer.
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low¶ Lower endpoint of the range of the distribution.
lowis included in the range.
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high¶ Upper endpoint of the range of the distribution.
highis included in the range.
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step¶ A step for spacing between values.
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__init__(low: int, high: int, step: int = 1) → None[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(low, high[, step])Initialize self.
single()Test whether the range of this distribution contains just a single value.
to_external_repr(param_value_in_internal_repr)Convert internal representation of a parameter value into external representation.
to_internal_repr(param_value_in_external_repr)Convert external representation of a parameter value into internal representation.
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single() → bool[source]¶ Test whether the range of this distribution contains just a single value.
When this method returns
True,samplersalways sample the same value from the distribution.
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to_external_repr(param_value_in_internal_repr: float) → int[source]¶ Convert internal representation of a parameter value into external representation.
- Parameters
param_value_in_internal_repr – Optuna’s internal representation of a parameter value.
- Returns
Optuna’s external representation of a parameter value.
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to_internal_repr(param_value_in_external_repr: int) → float[source]¶ Convert external representation of a parameter value into internal representation.
- Parameters
param_value_in_external_repr – Optuna’s external representation of a parameter value.
- Returns
Optuna’s internal representation of a parameter value.
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