evidently.metrics.regression_performance
Submodules
abs_perc_error_in_time module
class RegressionAbsPercentageErrorPlot()
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class RegressionAbsPercentageErrorPlotRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionAbsPercentageErrorPlotResults(current_scatter: Dict[str, pandas.core.series.Series], reference_scatter: Optional[Dict[str, pandas.core.series.Series]], x_name: str)
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error_bias_table module
class RegressionErrorBiasTable(columns: Optional[List[str]] = None, top_error: Optional[float] = None)
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class RegressionErrorBiasTableRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionErrorBiasTableResults(top_error: float, current_plot_data: pandas.core.frame.DataFrame, reference_plot_data: Optional[pandas.core.frame.DataFrame], target_name: str, prediction_name: str, num_feature_names: List[str], cat_feature_names: List[str], error_bias: Optional[dict] = None, columns: Optional[List[str]] = None)
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error_distribution module
class RegressionErrorDistribution()
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class RegressionErrorDistributionRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionErrorDistributionResults(current_bins: pandas.core.frame.DataFrame, reference_bins: Optional[pandas.core.frame.DataFrame])
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error_in_time module
class RegressionErrorPlot()
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class RegressionErrorPlotRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionErrorPlotResults(current_scatter: Dict[str, pandas.core.series.Series], reference_scatter: Optional[Dict[str, pandas.core.series.Series]], x_name: str)
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error_normality module
class RegressionErrorNormality()
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class RegressionErrorNormalityRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionErrorNormalityResults(current_error: pandas.core.series.Series, reference_error: Optional[pandas.core.series.Series])
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predicted_and_actual_in_time module
class RegressionPredictedVsActualPlot()
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class RegressionPredictedVsActualPlotRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionPredictedVsActualPlotResults(current_scatter: Dict[str, pandas.core.series.Series], reference_scatter: Optional[Dict[str, pandas.core.series.Series]], x_name: str)
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predicted_vs_actual module
class RegressionPredictedVsActualScatter()
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class RegressionPredictedVsActualScatterRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionPredictedVsActualScatterResults(current_scatter: Dict[str, pandas.core.series.Series], reference_scatter: Optional[Dict[str, pandas.core.series.Series]])
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regression_dummy_metric module
class RegressionDummyMetric()
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class RegressionDummyMetricRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionDummyMetricResults(rmse_default: float, mean_abs_error_default: float, mean_abs_perc_error_default: float, abs_error_max_default: float, mean_abs_error_by_ref: Optional[float] = None, mean_abs_error: Optional[float] = None, mean_abs_perc_error_by_ref: Optional[float] = None, mean_abs_perc_error: Optional[float] = None, rmse_by_ref: Optional[float] = None, rmse: Optional[float] = None, abs_error_max_by_ref: Optional[float] = None, abs_error_max: Optional[float] = None)
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regression_performance_metrics module
class RegressionPerformanceMetrics()
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class RegressionPerformanceMetricsRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionPerformanceMetricsResults(columns: DatasetColumns, r2_score: float, rmse: float, rmse_default: float, mean_error: float, me_default_sigma: float, me_hist_for_plot: Dict[str, Union[pandas.core.series.Series, pandas.core.frame.DataFrame]], mean_abs_error: float, mean_abs_error_default: float, mean_abs_perc_error: float, mean_abs_perc_error_default: float, abs_error_max: float, abs_error_max_default: float, error_std: float, abs_error_std: float, abs_perc_error_std: float, error_normality: dict, underperformance: dict, hist_for_plot: Dict[str, pandas.core.series.Series], vals_for_plots: Dict[str, Dict[str, pandas.core.series.Series]], error_bias: Optional[dict] = None, mean_error_ref: Optional[float] = None, mean_abs_error_ref: Optional[float] = None, mean_abs_perc_error_ref: Optional[float] = None, rmse_ref: Optional[float] = None, r2_score_ref: Optional[float] = None, abs_error_max_ref: Optional[float] = None, underperformance_ref: Optional[dict] = None)
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regression_quality module
class RegressionQualityMetric()
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class RegressionQualityMetricRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionQualityMetricResults(columns: DatasetColumns, r2_score: float, rmse: float, rmse_default: float, mean_error: float, me_default_sigma: float, me_hist_for_plot: Dict[str, pandas.core.series.Series], mean_abs_error: float, mean_abs_error_default: float, mean_abs_perc_error: float, mean_abs_perc_error_default: float, abs_error_max: float, abs_error_max_default: float, error_std: float, abs_error_std: float, abs_perc_error_std: float, error_normality: dict, underperformance: dict, hist_for_plot: Dict[str, pandas.core.series.Series], vals_for_plots: Dict[str, Dict[str, pandas.core.series.Series]], error_bias: Optional[dict] = None, mean_error_ref: Optional[float] = None, mean_abs_error_ref: Optional[float] = None, mean_abs_perc_error_ref: Optional[float] = None, rmse_ref: Optional[float] = None, r2_score_ref: Optional[float] = None, abs_error_max_ref: Optional[float] = None, underperformance_ref: Optional[dict] = None, error_std_ref: Optional[float] = None, abs_error_std_ref: Optional[float] = None, abs_perc_error_std_ref: Optional[float] = None)
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top_error module
class RegressionTopErrorMetric()
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class RegressionTopErrorMetricRenderer(color_options: Optional[ColorOptions] = None)
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class RegressionTopErrorMetricResults(curr_mean_err_per_group: Dict[str, Dict[str, float]], curr_scatter: Dict[str, Dict[str, pandas.core.series.Series]], ref_mean_err_per_group: Optional[Dict[str, Dict[str, float]]], ref_scatter: Optional[Dict[str, Dict[str, pandas.core.series.Series]]])
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