DiscreteParameterRange

class automation.DiscreteParameterRange()

Discrete randomly sampled hyper-parameter object.

Uniformly sample values form a list of discrete options.

• Parameters

  • name (str ) – The parameter name. Match the task hyper-parameter name.

  • values (list ) – The list/tuple of valid parameter values to sample from.

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DiscreteParameterRange.from_dict

classmethod from_dict(a_dict)

Construct Parameter object from a dict representation (deserialize from dict).

• Return type

  Parameter

• Returns

  The Parameter object.

• Parameters

  a_dict (Mapping [ str , str ] ) –

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get_random_seed

static get_random_seed()

Get the global seed for all hyper-parameter strategy random number sampling.

• Return type

  int

• Returns

  The random seed.

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get_value

get_value()

Return uniformly sampled value from the valid list of values.

• Return type

  Mapping[str, Any]

• Returns

  {self.name: random entry from self.value}

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set_random_seed

static set_random_seed(seed=1337)

Set global seed for all hyper-parameter strategy random number sampling.

• Parameters

  seed (int ) – The random seed.

• Return type

  ()

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to_dict

to_dict()

Return a dict representation of the Parameter object. Used for serialization of the Parameter object.

• Return type

  Mapping[str, Union[str, Parameter]]

• Returns

  dict representation of the object (serialization).

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to_list

to_list()

Return a list of all the valid values of the Parameter.

• Return type

  Sequence[Mapping[str, Any]]

• Returns

  list of dicts {name: value}