distributions¶

Classes

`BaseDistribution`()	Base distribution.
`CategoricalDistribution`(choices)	Categorical distribution.
`FloatDistribution`(low, high[, step, log])	Float-based distribution.
`IntDistribution`(low, high[, step, log])	Integer-based distribution.

class BaseDistribution[source]¶

Base distribution.

Return type: None

class CategoricalDistribution(choices: Sequence[Union[None, bool, int, float, str]])[source]¶

Categorical distribution.

The input parameters aren’t validated.

Look at suggest_categorical() to find more about the meaning of parameters.

Parameters: choices (Sequence[Union[None, bool, int, float, str]]) –
Return type: None

choices¶

Possible values to take.

Type: Sequence[Union[None, bool, int, float, str]]

class FloatDistribution(low: float, high: float, step: Optional[float] = None, log: bool = False)[source]¶

Float-based distribution.

Look at suggest_float() to find more about the meaning of parameters.

Parameters

low (float) –
high (float) –
step (Optional[float]) –
log (bool) –

Return type

None

low¶

The lower bound.

Type: float

high¶

The upper bound.

Type: float

step¶

The space between possible values.

Type: Optional[float]

log¶

The flag of using log domain.

Type: bool

class IntDistribution(low: int, high: int, step: int = 1, log: bool = False)[source]¶

Integer-based distribution.