| ParameterRange | R Documentation |
Base class for representing parameter ranges. This is used to define what hyperparameters to tune for an Amazon SageMaker hyperparameter tuning job and to verify hyperparameters for Marketplace Algorithms.
.all_typesAll types of child class
min_valueThe minimum value for the range
max_valueThe maximum value for the rang
scaling_typeThe scale used for searching the range during tuning
new()Initialize a parameter range.
ParameterRange$new(
min_value,
max_value,
scaling_type = c("Auto", "Linear", "Logarithmic", "ReverseLogarithmic")
)min_value(float or int): The minimum value for the range.
max_value(float or int): The maximum value for the range.
scaling_type(str): The scale used for searching the range during tuning (default: 'Auto'). Valid values: 'Auto', 'Linear', Logarithmic' and 'ReverseLogarithmic'.
is_valid()Determine if a value is valid within this ParameterRange.
ParameterRange$is_valid(value)
value(float or int): The value to be verified.
bool: True if valid, False otherwise.
cast_to_type()cast value to numeric
ParameterRange$cast_to_type(value)
valueThe value to be verified.
as_tuning_range()Represent the parameter range as a dicionary suitable for a request to create an Amazon SageMaker hyperparameter tuning job.
ParameterRange$as_tuning_range(name)
name(str): The name of the hyperparameter.
dict[str, str]: A dictionary that contains the name and values of the hyperparameter.
format()format class
ParameterRange$format()
clone()The objects of this class are cloneable with this method.
ParameterRange$clone(deep = FALSE)
deepWhether to make a deep clone.
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