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EvaluatorMetric Class

Evaluator Metric.

Constructor

EvaluatorMetric(*args: Any, **kwargs: Any)

Variables

Name Description
type
str or EvaluatorMetricType

Type of the metric. Known values are: "ordinal", "continuous", and "boolean".
desirable_direction
str or EvaluatorMetricDirection

It indicates whether a higher value is better or a lower value is better for this metric. Known values are: "increase", "decrease", and "neutral".
min_value
float

Minimum value for the metric.
max_value
float

Maximum value for the metric. If not specified, it is assumed to be unbounded.
is_primary
bool

Indicates if this metric is primary when there are multiple metrics.

Methods

as_dict

Return a dict that can be turned into json using json.dump.
clear

Remove all items from D.
copy
get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any
items
keys
pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.
setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any
update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.
values

as_dict

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Name Description
exclude_readonly
bool

Whether to remove the readonly properties.

Default value: False

Returns

Type Description
dict

A dict JSON compatible object

clear

Remove all items from D.

clear() -> None

copy 

copy() -> Model

get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

Name Description
key
Required
default
Default value: None

items 

items() -> ItemsView[str, Any]

Returns

Type Description
ItemsView

set-like object providing a view on D's items

keys 

keys() -> KeysView[str]

Returns

Type Description
KeysView

a set-like object providing a view on D's keys

pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values 

values() -> ValuesView[Any]

Returns

Type Description
ValuesView

an object providing a view on D's values

Attributes

desirable_direction

It indicates whether a higher value is better or a lower value is better for this metric. Known values are: "increase", "decrease", and "neutral".

desirable_direction: str | _models.EvaluatorMetricDirection | None

is_primary

Indicates if this metric is primary when there are multiple metrics.

is_primary: bool | None

max_value

Maximum value for the metric. If not specified, it is assumed to be unbounded.

max_value: float | None

min_value

Minimum value for the metric.

min_value: float | None

type

"ordinal", "continuous", and "boolean".

type: str | _models.EvaluatorMetricType | None