Evaluation Result#
Similar to the dataset representation, the results are also represented in two classes RelationResult and the container DatasetResults.
RelationResult
#
RelationResult(relation_code: str, *, metadata: dict[str, Any], metric_values: Optional[dict[str, Any]] = None, instance_table: Optional[DataFrame] = None, answer_space: Optional[Series] = None, lazy_options: Optional[dict[str, Any]] = None, relation_info: Optional[dict[str, Any]] = None)
Methods:
| Name | Description |
|---|---|
activated |
Return self or a copy of self with the instance_table loaded (lazy loading disabled). |
from_path |
Loads the evaluated relation from a JSONL file and associated metadata. |
relation_info |
Get or set additional relation information. |
save |
Save results to a file and export meta_data |
search_path |
Search path for instance files. |
Attributes:
| Name | Type | Description |
|---|---|---|
answer_space |
Series
|
The answer space of the relation. |
instance_table |
DataFrame
|
A |
relation_code |
str
|
The identifier of the relation. |
instance_table
property
#
instance_table: DataFrame
A pandas.DataFrame containing all items in the relation.
activated
#
Return self or a copy of self with the instance_table loaded (lazy loading disabled).
from_path
classmethod
#
from_path(path: PathLike, *, relation_code: Optional[str] = None, metadata: Optional[dict[str, Any]] = None, lazy: bool = True, fmt: InstanceTableFileFormat = None) -> RelationResult
Loads the evaluated relation from a JSONL file and associated metadata.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
|
PathLike
|
The path to the relations instance table. |
required |
Returns:
| Type | Description |
|---|---|
RelationResult
|
An instance of the RelationResult class populated with data from the file. |
Raises:
| Type | Description |
|---|---|
Exception
|
If there is an error in loading the file or processing the data. |
relation_info
#
Get or set additional relation information.
Use relation.relation_info(<field name>=<new value>) to set fields in the relation info dictionary.
If a single field is selected, the respective value is returned. Otherwise the complete dictionary is
returned.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
|
Optional[str]
|
The field to retrieve. |
None
|
|
Any
|
The fields to modify. |
{}
|
Returns:
| Type | Description |
|---|---|
Union[None, Any, dict[str, Any]]
|
If a field is selected, the respective value is returned, otherwise, the complete info dictionary is |
Union[None, Any, dict[str, Any]]
|
returned. |
save
#
Save results to a file and export meta_data
search_path
classmethod
#
search_path(path: Path, relation_code: Optional[str] = None, fmt: InstanceTableFileFormat = None) -> Union[list[Path], Path, None]
Search path for instance files.
DatasetResults
#
DatasetResults(results: Optional[list[RelationResult]] = None)
Container for relation results.
Methods:
| Name | Description |
|---|---|
from_path |
Loads a results from a specified directory path. |
get_metadata |
Return metadata from the relations. If no keys are passed, all consistent values are returned. |
get_metrics |
Return the metrics for the relations in this dataset. |
from_path
classmethod
#
from_path(path: PathLike, *, lazy: bool = True, fmt: InstanceTableFileFormat = None, relation_info: Optional[PathLike] = None, **kwargs) -> DatasetResults
Loads a results from a specified directory path.
This method scans the directory for relation files and assembles them into a DatasetResults.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
|
PathLike
|
The directory path where the dataset is stored. |
required |
Returns:
| Type | Description |
|---|---|
DatasetResults
|
An instance of DatasetResults loaded with the results from the directory. |
Raises:
| Type | Description |
|---|---|
Exception
|
If there is an error in loading the dataset. |
get_metadata
#
Return metadata from the relations. If no keys are passed, all consistent values are returned.
get_metrics
#
get_metrics(metrics: str, *, accumulate: Literal[True] = True, divide_support: bool = True) -> float
get_metrics(metrics: str, *, accumulate: Union[Literal[False], None, str], divide_support: bool = True) -> Series
get_metrics(metrics: Sequence[str], *, accumulate: Literal[True] = True, divide_support: bool = True) -> Series
get_metrics(metrics: Sequence[str], *, accumulate: Union[Literal[False], None, str], divide_support: bool = True) -> DataFrame
get_metrics(metrics: Union[str, Sequence[str]], *, accumulate: Union[bool, None, str] = True, divide_support: bool = True) -> Union[DataFrame, Series, float]
Return the metrics for the relations in this dataset.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
|
bool | str | None
|
Compute the metrics for groups of relations (e.g. over the domains) or
compute the overall scores for the complete dataset by setting |
True
|
|
bool
|
Set to true to divide the support (added by a relation to a group) by the number of
groups it adds to (only relevant if there are multiple groups per relation i.e. when |
True
|
Returns:
| Type | Description |
|---|---|
Union[DataFrame, Series, float]
|
pandas.DataFrame | pandas.Series: A Series or DataFrame with the selected metrics depending on whether all relations where accumulated. |