wallaroo.wallaroo_ml_ops_api_client.models.explainability_create_config_json_body
1from typing import Any, Dict, List, Type, TypeVar, Union, cast 2 3import attr 4 5from ..models.explainability_create_config_json_body_feature_bounds import \ 6 ExplainabilityCreateConfigJsonBodyFeatureBounds 7from ..types import UNSET, Unset 8 9T = TypeVar("T", bound="ExplainabilityCreateConfigJsonBody") 10 11@attr.s(auto_attribs=True) 12class ExplainabilityCreateConfigJsonBody: 13 """ A configuration for reference and adhoc explainability requests 14 15 Attributes: 16 workspace_id (int): The users workspace 17 reference_pipeline_version (str): The production pipeline to be analyzed 18 id (Union[Unset, None, str]): 19 explainability_pipeline_version (Union[Unset, None, str]): The copy of the production pipeline that will be 20 used for analysis. 21 num_points (Union[Unset, None, int]): How many points to sample for each feature bounds range 22 feature_names (Union[Unset, None, List[str]]): Names of features for improved reporting. 23 feature_bounds (Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds]): Calculated feature bounds 24 output_names (Union[Unset, None, List[str]]): The names of the outputs for improved reporting 25 """ 26 27 workspace_id: int 28 reference_pipeline_version: str 29 id: Union[Unset, None, str] = UNSET 30 explainability_pipeline_version: Union[Unset, None, str] = UNSET 31 num_points: Union[Unset, None, int] = UNSET 32 feature_names: Union[Unset, None, List[str]] = UNSET 33 feature_bounds: Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds] = UNSET 34 output_names: Union[Unset, None, List[str]] = UNSET 35 additional_properties: Dict[str, Any] = attr.ib(init=False, factory=dict) 36 37 38 def to_dict(self) -> Dict[str, Any]: 39 workspace_id = self.workspace_id 40 reference_pipeline_version = self.reference_pipeline_version 41 id = self.id 42 explainability_pipeline_version = self.explainability_pipeline_version 43 num_points = self.num_points 44 feature_names: Union[Unset, None, List[str]] = UNSET 45 if not isinstance(self.feature_names, Unset): 46 if self.feature_names is None: 47 feature_names = None 48 else: 49 feature_names = self.feature_names 50 51 52 53 54 feature_bounds: Union[Unset, None, Dict[str, Any]] = UNSET 55 if not isinstance(self.feature_bounds, Unset): 56 feature_bounds = self.feature_bounds.to_dict() if self.feature_bounds else None 57 58 output_names: Union[Unset, None, List[str]] = UNSET 59 if not isinstance(self.output_names, Unset): 60 if self.output_names is None: 61 output_names = None 62 else: 63 output_names = self.output_names 64 65 66 67 68 69 field_dict: Dict[str, Any] = {} 70 field_dict.update(self.additional_properties) 71 field_dict.update({ 72 "workspace_id": workspace_id, 73 "reference_pipeline_version": reference_pipeline_version, 74 }) 75 if id is not UNSET: 76 field_dict["id"] = id 77 if explainability_pipeline_version is not UNSET: 78 field_dict["explainability_pipeline_version"] = explainability_pipeline_version 79 if num_points is not UNSET: 80 field_dict["num_points"] = num_points 81 if feature_names is not UNSET: 82 field_dict["feature_names"] = feature_names 83 if feature_bounds is not UNSET: 84 field_dict["feature_bounds"] = feature_bounds 85 if output_names is not UNSET: 86 field_dict["output_names"] = output_names 87 88 return field_dict 89 90 91 92 @classmethod 93 def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T: 94 d = src_dict.copy() 95 workspace_id = d.pop("workspace_id") 96 97 reference_pipeline_version = d.pop("reference_pipeline_version") 98 99 id = d.pop("id", UNSET) 100 101 explainability_pipeline_version = d.pop("explainability_pipeline_version", UNSET) 102 103 num_points = d.pop("num_points", UNSET) 104 105 feature_names = cast(List[str], d.pop("feature_names", UNSET)) 106 107 108 _feature_bounds = d.pop("feature_bounds", UNSET) 109 feature_bounds: Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds] 110 if _feature_bounds is None: 111 feature_bounds = None 112 elif isinstance(_feature_bounds, Unset): 113 feature_bounds = UNSET 114 else: 115 feature_bounds = ExplainabilityCreateConfigJsonBodyFeatureBounds.from_dict(_feature_bounds) 116 117 118 119 120 output_names = cast(List[str], d.pop("output_names", UNSET)) 121 122 123 explainability_create_config_json_body = cls( 124 workspace_id=workspace_id, 125 reference_pipeline_version=reference_pipeline_version, 126 id=id, 127 explainability_pipeline_version=explainability_pipeline_version, 128 num_points=num_points, 129 feature_names=feature_names, 130 feature_bounds=feature_bounds, 131 output_names=output_names, 132 ) 133 134 explainability_create_config_json_body.additional_properties = d 135 return explainability_create_config_json_body 136 137 @property 138 def additional_keys(self) -> List[str]: 139 return list(self.additional_properties.keys()) 140 141 def __getitem__(self, key: str) -> Any: 142 return self.additional_properties[key] 143 144 def __setitem__(self, key: str, value: Any) -> None: 145 self.additional_properties[key] = value 146 147 def __delitem__(self, key: str) -> None: 148 del self.additional_properties[key] 149 150 def __contains__(self, key: str) -> bool: 151 return key in self.additional_properties
12@attr.s(auto_attribs=True) 13class ExplainabilityCreateConfigJsonBody: 14 """ A configuration for reference and adhoc explainability requests 15 16 Attributes: 17 workspace_id (int): The users workspace 18 reference_pipeline_version (str): The production pipeline to be analyzed 19 id (Union[Unset, None, str]): 20 explainability_pipeline_version (Union[Unset, None, str]): The copy of the production pipeline that will be 21 used for analysis. 22 num_points (Union[Unset, None, int]): How many points to sample for each feature bounds range 23 feature_names (Union[Unset, None, List[str]]): Names of features for improved reporting. 24 feature_bounds (Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds]): Calculated feature bounds 25 output_names (Union[Unset, None, List[str]]): The names of the outputs for improved reporting 26 """ 27 28 workspace_id: int 29 reference_pipeline_version: str 30 id: Union[Unset, None, str] = UNSET 31 explainability_pipeline_version: Union[Unset, None, str] = UNSET 32 num_points: Union[Unset, None, int] = UNSET 33 feature_names: Union[Unset, None, List[str]] = UNSET 34 feature_bounds: Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds] = UNSET 35 output_names: Union[Unset, None, List[str]] = UNSET 36 additional_properties: Dict[str, Any] = attr.ib(init=False, factory=dict) 37 38 39 def to_dict(self) -> Dict[str, Any]: 40 workspace_id = self.workspace_id 41 reference_pipeline_version = self.reference_pipeline_version 42 id = self.id 43 explainability_pipeline_version = self.explainability_pipeline_version 44 num_points = self.num_points 45 feature_names: Union[Unset, None, List[str]] = UNSET 46 if not isinstance(self.feature_names, Unset): 47 if self.feature_names is None: 48 feature_names = None 49 else: 50 feature_names = self.feature_names 51 52 53 54 55 feature_bounds: Union[Unset, None, Dict[str, Any]] = UNSET 56 if not isinstance(self.feature_bounds, Unset): 57 feature_bounds = self.feature_bounds.to_dict() if self.feature_bounds else None 58 59 output_names: Union[Unset, None, List[str]] = UNSET 60 if not isinstance(self.output_names, Unset): 61 if self.output_names is None: 62 output_names = None 63 else: 64 output_names = self.output_names 65 66 67 68 69 70 field_dict: Dict[str, Any] = {} 71 field_dict.update(self.additional_properties) 72 field_dict.update({ 73 "workspace_id": workspace_id, 74 "reference_pipeline_version": reference_pipeline_version, 75 }) 76 if id is not UNSET: 77 field_dict["id"] = id 78 if explainability_pipeline_version is not UNSET: 79 field_dict["explainability_pipeline_version"] = explainability_pipeline_version 80 if num_points is not UNSET: 81 field_dict["num_points"] = num_points 82 if feature_names is not UNSET: 83 field_dict["feature_names"] = feature_names 84 if feature_bounds is not UNSET: 85 field_dict["feature_bounds"] = feature_bounds 86 if output_names is not UNSET: 87 field_dict["output_names"] = output_names 88 89 return field_dict 90 91 92 93 @classmethod 94 def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T: 95 d = src_dict.copy() 96 workspace_id = d.pop("workspace_id") 97 98 reference_pipeline_version = d.pop("reference_pipeline_version") 99 100 id = d.pop("id", UNSET) 101 102 explainability_pipeline_version = d.pop("explainability_pipeline_version", UNSET) 103 104 num_points = d.pop("num_points", UNSET) 105 106 feature_names = cast(List[str], d.pop("feature_names", UNSET)) 107 108 109 _feature_bounds = d.pop("feature_bounds", UNSET) 110 feature_bounds: Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds] 111 if _feature_bounds is None: 112 feature_bounds = None 113 elif isinstance(_feature_bounds, Unset): 114 feature_bounds = UNSET 115 else: 116 feature_bounds = ExplainabilityCreateConfigJsonBodyFeatureBounds.from_dict(_feature_bounds) 117 118 119 120 121 output_names = cast(List[str], d.pop("output_names", UNSET)) 122 123 124 explainability_create_config_json_body = cls( 125 workspace_id=workspace_id, 126 reference_pipeline_version=reference_pipeline_version, 127 id=id, 128 explainability_pipeline_version=explainability_pipeline_version, 129 num_points=num_points, 130 feature_names=feature_names, 131 feature_bounds=feature_bounds, 132 output_names=output_names, 133 ) 134 135 explainability_create_config_json_body.additional_properties = d 136 return explainability_create_config_json_body 137 138 @property 139 def additional_keys(self) -> List[str]: 140 return list(self.additional_properties.keys()) 141 142 def __getitem__(self, key: str) -> Any: 143 return self.additional_properties[key] 144 145 def __setitem__(self, key: str, value: Any) -> None: 146 self.additional_properties[key] = value 147 148 def __delitem__(self, key: str) -> None: 149 del self.additional_properties[key] 150 151 def __contains__(self, key: str) -> bool: 152 return key in self.additional_properties
A configuration for reference and adhoc explainability requests
Attributes: workspace_id (int): The users workspace reference_pipeline_version (str): The production pipeline to be analyzed id (Union[Unset, None, str]): explainability_pipeline_version (Union[Unset, None, str]): The copy of the production pipeline that will be used for analysis. num_points (Union[Unset, None, int]): How many points to sample for each feature bounds range feature_names (Union[Unset, None, List[str]]): Names of features for improved reporting. feature_bounds (Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds]): Calculated feature bounds output_names (Union[Unset, None, List[str]]): The names of the outputs for improved reporting
2def __init__(self, workspace_id, reference_pipeline_version, id=attr_dict['id'].default, explainability_pipeline_version=attr_dict['explainability_pipeline_version'].default, num_points=attr_dict['num_points'].default, feature_names=attr_dict['feature_names'].default, feature_bounds=attr_dict['feature_bounds'].default, output_names=attr_dict['output_names'].default): 3 self.workspace_id = workspace_id 4 self.reference_pipeline_version = reference_pipeline_version 5 self.id = id 6 self.explainability_pipeline_version = explainability_pipeline_version 7 self.num_points = num_points 8 self.feature_names = feature_names 9 self.feature_bounds = feature_bounds 10 self.output_names = output_names 11 self.additional_properties = __attr_factory_additional_properties()
Method generated by attrs for class ExplainabilityCreateConfigJsonBody.
39 def to_dict(self) -> Dict[str, Any]: 40 workspace_id = self.workspace_id 41 reference_pipeline_version = self.reference_pipeline_version 42 id = self.id 43 explainability_pipeline_version = self.explainability_pipeline_version 44 num_points = self.num_points 45 feature_names: Union[Unset, None, List[str]] = UNSET 46 if not isinstance(self.feature_names, Unset): 47 if self.feature_names is None: 48 feature_names = None 49 else: 50 feature_names = self.feature_names 51 52 53 54 55 feature_bounds: Union[Unset, None, Dict[str, Any]] = UNSET 56 if not isinstance(self.feature_bounds, Unset): 57 feature_bounds = self.feature_bounds.to_dict() if self.feature_bounds else None 58 59 output_names: Union[Unset, None, List[str]] = UNSET 60 if not isinstance(self.output_names, Unset): 61 if self.output_names is None: 62 output_names = None 63 else: 64 output_names = self.output_names 65 66 67 68 69 70 field_dict: Dict[str, Any] = {} 71 field_dict.update(self.additional_properties) 72 field_dict.update({ 73 "workspace_id": workspace_id, 74 "reference_pipeline_version": reference_pipeline_version, 75 }) 76 if id is not UNSET: 77 field_dict["id"] = id 78 if explainability_pipeline_version is not UNSET: 79 field_dict["explainability_pipeline_version"] = explainability_pipeline_version 80 if num_points is not UNSET: 81 field_dict["num_points"] = num_points 82 if feature_names is not UNSET: 83 field_dict["feature_names"] = feature_names 84 if feature_bounds is not UNSET: 85 field_dict["feature_bounds"] = feature_bounds 86 if output_names is not UNSET: 87 field_dict["output_names"] = output_names 88 89 return field_dict
93 @classmethod 94 def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T: 95 d = src_dict.copy() 96 workspace_id = d.pop("workspace_id") 97 98 reference_pipeline_version = d.pop("reference_pipeline_version") 99 100 id = d.pop("id", UNSET) 101 102 explainability_pipeline_version = d.pop("explainability_pipeline_version", UNSET) 103 104 num_points = d.pop("num_points", UNSET) 105 106 feature_names = cast(List[str], d.pop("feature_names", UNSET)) 107 108 109 _feature_bounds = d.pop("feature_bounds", UNSET) 110 feature_bounds: Union[Unset, None, ExplainabilityCreateConfigJsonBodyFeatureBounds] 111 if _feature_bounds is None: 112 feature_bounds = None 113 elif isinstance(_feature_bounds, Unset): 114 feature_bounds = UNSET 115 else: 116 feature_bounds = ExplainabilityCreateConfigJsonBodyFeatureBounds.from_dict(_feature_bounds) 117 118 119 120 121 output_names = cast(List[str], d.pop("output_names", UNSET)) 122 123 124 explainability_create_config_json_body = cls( 125 workspace_id=workspace_id, 126 reference_pipeline_version=reference_pipeline_version, 127 id=id, 128 explainability_pipeline_version=explainability_pipeline_version, 129 num_points=num_points, 130 feature_names=feature_names, 131 feature_bounds=feature_bounds, 132 output_names=output_names, 133 ) 134 135 explainability_create_config_json_body.additional_properties = d 136 return explainability_create_config_json_body