determined¶
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determined.Categorical(vals: List[Any]) → Dict¶ A hyperparameter configuration for a discrete uniform distribution over a list of values.
- Parameters
vals – A list of JSON-serializable values (int, float, str, or a some combination of those types in nested lists or dictionaries)
- Returns
A dictionary representing the configuration.
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determined.Constant(value: Any) → Dict¶ A hyperparameter configuration for a constant value.
- Parameters
value – A JSON-serializable value (int, float, str, or a some combination of those types in a list or dictionary)
- Returns
A dictionary representing the configuration.
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determined.Double(minval: float, maxval: float) → Dict¶ A hyperparameter configuration for a continuous uniform distribution over float values.
- Parameters
minval – Minimum float value, inclusive.
maxval – Maximum float value, inclusive.
- Returns
A dictionary representing the configuration.
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determined.Integer(minval: int, maxval: int) → Dict¶ A hyperparameter configuration for a discrete uniform distribution over integers.
- Parameters
minval – Minimum integer value, inclusive.
maxval – Maximum integer value, inclusive.
- Returns
A dictionary representing the configuration.
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determined.Log(minval: float, maxval: float, base: int = 10) → Any¶ A hyperparameter configuration for a log uniform distribution over float values.
- Parameters
minval – The minimum exponent to be used in the distribution. The minimum value of the hyperparameter will be base ^ minval.
maxval – The minimum exponent to be used in the distribution. The maximum value of the hyperparameter will be base ^ maxval.
base – The logarithm base to use for the distribution (default: 10)
- Returns
A dictionary representing the configuration.