dataeval.utils.thresholds.ConstantThreshold¶

class dataeval.utils.thresholds.ConstantThreshold(lower=None, upper=None)¶

A Threshold implementation that returns a constant lower and or upper threshold value.

lower¶

The constant lower threshold value. Defaults to None, meaning there is no lower threshold.

Type:¶

Optional[float]

upper¶

The constant upper threshold value. Defaults to None, meaning there is no upper threshold.

Type:¶

Optional[float]

Raises:¶

• ValueError – raised when an argument was given using an incorrect type or name:

• ValueError – raised when the ConstantThreshold could not be created using the given argument values:

Examples

>>> data = np.array(range(10))
>>> t = ConstantThreshold(lower=None, upper=0.1)
>>> t(data)
(None, 0.1)

classmethod parse_object(obj)¶

Instantiate a Threshold subclass from a dictionary.

The dictionary must contain a "type" key whose value matches a registered threshold_type string (e.g. "constant", "standard_deviation", "zscore"). The remaining key/value pairs are forwarded as keyword arguments to the matching subclass constructor.

Parameters:¶

obj : dict[str, Any]¶

Dictionary representation of a threshold. The "type" key is popped from the dict during parsing.

Returns:¶

An instance of the matching Threshold subclass.

Return type:¶

Threshold

Raises:¶

ValueError – If "type" is missing or does not match any registered threshold subclass.