evidently.metrics.data_quality
Submodules
column_correlations_metric module
class ColumnCorrelationsMetric(column_name: str)
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class ColumnCorrelationsMetricRenderer(color_options: Optional[ColorOptions] = None)
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class ColumnCorrelationsMetricResult(column_name: str, current: Dict[str, ColumnCorrelations], reference: Optional[Dict[str, ColumnCorrelations]] = None)
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column_distribution_metric module
class ColumnDistributionMetric(column_name: str)
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class ColumnDistributionMetricRenderer(color_options: Optional[ColorOptions] = None)
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class ColumnDistributionMetricResult(column_name: str, current: Distribution, reference: Optional[Distribution] = None)
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column_quantile_metric module
class ColumnQuantileMetric(column_name: str, quantile: float)
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class ColumnQuantileMetricRenderer(color_options: Optional[ColorOptions] = None)
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class ColumnQuantileMetricResult(column_name: str, quantile: float, current: float, current_distribution: Distribution, reference: Optional[float] = None, reference_distribution: Optional[Distribution] = None)
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column_value_list_metric module
class ColumnValueListMetric(column_name: str, values: Optional[list] = None)
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class ColumnValueListMetricRenderer(color_options: Optional[ColorOptions] = None)
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class ColumnValueListMetricResult(column_name: str, values: List[Any], current: ValueListStat, reference: Optional[ValueListStat] = None)
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class ValueListStat(number_in_list: int, number_not_in_list: int, share_in_list: float, share_not_in_list: float, values_in_list: Dict[Any, int], values_not_in_list: Dict[Any, int], rows_count: int)
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column_value_range_metric module
class ColumnValueRangeMetric(column_name: str, left: Optional[Union[float, int]] = None, right: Optional[Union[float, int]] = None)
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class ColumnValueRangeMetricRenderer(color_options: Optional[ColorOptions] = None)
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class ColumnValueRangeMetricResult(column_name: str, left: Union[float, int], right: Union[float, int], current: ValuesInRangeStat, current_distribution: Distribution, reference: Optional[ValuesInRangeStat] = None, reference_distribution: Optional[Distribution] = None)
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class ValuesInRangeStat(number_in_range: int, number_not_in_range: int, share_in_range: float, share_not_in_range: float, number_of_values: int)
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dataset_correlations_metric module
class CorrelationStats(target_prediction_correlation: Optional[float] = None, abs_max_target_features_correlation: Optional[float] = None, abs_max_prediction_features_correlation: Optional[float] = None, abs_max_correlation: Optional[float] = None, abs_max_features_correlation: Optional[float] = None)
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class DataQualityCorrelationMetricsRenderer(color_options: Optional[ColorOptions] = None)
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class DatasetCorrelation(correlation: Dict[str, pandas.core.frame.DataFrame], stats: Dict[str, CorrelationStats])
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class DatasetCorrelationsMetric()
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class DatasetCorrelationsMetricResult(current: DatasetCorrelation, reference: Optional[DatasetCorrelation])
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stability_metric module
class DataQualityStabilityMetric()
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class DataQualityStabilityMetricRenderer(color_options: Optional[ColorOptions] = None)
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class DataQualityStabilityMetricResult(number_not_stable_target: Optional[int] = None, number_not_stable_prediction: Optional[int] = None)
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