Types

class datarobot.models.RocCurveEstimatedMetric

Bases: TypedDict

Typed dict for estimated metric

accuracy: float

f1_score: float

false_negative_score: int

true_negative_score: int

true_negative_rate: float

matthews_correlation_coefficient: float

true_positive_score: int

positive_predictive_value: float

false_positive_score: int

false_positive_rate: float

negative_predictive_value: float

true_positive_rate: float

threshold: float

class datarobot.models.AnomalyAssessmentRecordMetadata

Bases: TypedDict

Typed dict for record metadata

record_id: str

project_id: str

model_id: str

backtest: Union[str, int]

source: SOURCE_TYPE

series_id: Optional[str]

class datarobot.models.AnomalyAssessmentPreviewBin

Bases: TypedDict

Typed dict for preview bin

avg_predicted: Optional[float]

max_predicted: Optional[float]

start_date: str

end_date: str

frequency: int

class datarobot.models.ShapleyFeatureContribution

Bases: TypedDict

Typed dict for shapley feature contribution

feature_value: str

strength: float

feature: str

class datarobot.models.AnomalyAssessmentDataPoint

Bases: TypedDict

Typed dict for data points

shap_explanation: Optional[List[ShapleyFeatureContribution]]

timestamp: str

prediction: float

class datarobot.models.RegionExplanationsData

Bases: TypedDict

Typed dict for region explanations

explanations: List[AnomalyAssessmentDataPoint]

shap_base_value: Optional[float]