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Metric Klass

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Definierar alla mått som stöds av klassificering och regression.

Arv
builtins.object
Metric

Konstruktor

Metric()

Metoder

pretty

Utförliga namn för mått.

pretty

Utförliga namn för mått.

pretty(metric)

Parametrar

Name Description
metric
Obligatorisk

Attribut

AUCBinary 

AUCBinary = 'AUC_binary'

AUCMacro 

AUCMacro = 'AUC_macro'

AUCMicro 

AUCMicro = 'AUC_micro'

AUCWeighted 

AUCWeighted = 'AUC_weighted'

Accuracy 

Accuracy = 'accuracy'

AccuracyTable 

AccuracyTable = 'accuracy_table'

AvgPrecisionBinary 

AvgPrecisionBinary = 'average_precision_score_binary'

AvgPrecisionMacro 

AvgPrecisionMacro = 'average_precision_score_macro'

AvgPrecisionMicro 

AvgPrecisionMicro = 'average_precision_score_micro'

AvgPrecisionWeighted 

AvgPrecisionWeighted = 'average_precision_score_weighted'

BalancedAccuracy 

BalancedAccuracy = 'balanced_accuracy'

CLASSIFICATION_BALANCED_SET 

CLASSIFICATION_BALANCED_SET = {'AUC_macro', 'average_precision_score_macro', 'balanced_accuracy', 'f1_score_macro', 'norm_macro_recall', 'precision_score_macro', 'recall_score_macro'}

CLASSIFICATION_BINARY_SET 

CLASSIFICATION_BINARY_SET = {'AUC_binary', 'average_precision_score_binary', 'f1_score_binary', 'precision_score_binary', 'recall_score_binary'}

CLASSIFICATION_PRIMARY_SET 

CLASSIFICATION_PRIMARY_SET = {'AUC_weighted', 'accuracy', 'average_precision_score_weighted', 'norm_macro_recall', 'precision_score_weighted'}

CLASSIFICATION_SET 

CLASSIFICATION_SET = {'AUC_binary', 'AUC_macro', 'AUC_micro', 'AUC_weighted', 'accuracy', 'accuracy_table', 'average_precision_score_binary', 'average_precision_score_macro', 'average_precision_score_micro', 'average_precision_score_weighted', 'balanced_accuracy', 'confusion_matrix', 'f1_score_binary', 'f1_score_macro', 'f1_score_micro', 'f1_score_weighted', 'log_loss', 'matthews_correlation', 'norm_macro_recall', 'precision_score_binary', 'precision_score_macro', 'precision_score_micro', 'precision_score_weighted', 'recall_score_binary', 'recall_score_macro', 'recall_score_micro', 'recall_score_weighted', 'weighted_accuracy'}

CLIPS_NEG 

CLIPS_NEG = {'explained_variance': -1, 'r2_score': -1, 'spearman_correlation': -1}

CLIPS_POS 

CLIPS_POS = {'log_loss': 1, 'normalized_mean_absolute_error': 1, 'normalized_median_absolute_error': 1, 'normalized_root_mean_squared_error': 1, 'normalized_root_mean_squared_log_error': 1, 'train time': 1200}

ConfusionMatrix 

ConfusionMatrix = 'confusion_matrix'

ExplainedVariance 

ExplainedVariance = 'explained_variance'

F1Binary 

F1Binary = 'f1_score_binary'

F1Macro 

F1Macro = 'f1_score_macro'

F1Micro 

F1Micro = 'f1_score_micro'

F1Weighted 

F1Weighted = 'f1_score_weighted'

FORECAST_SET 

FORECAST_SET = {'forecast_adjustment_residuals', 'forecast_mean_absolute_percentage_error', 'forecast_residuals', 'forecast_table'}

FULL_SET 

FULL_SET = {'AUC_binary', 'AUC_macro', 'AUC_micro', 'AUC_weighted', 'accuracy', 'accuracy_table', 'average_precision_score_binary', 'average_precision_score_macro', 'average_precision_score_micro', 'average_precision_score_weighted', 'balanced_accuracy', 'confusion_matrix', 'explained_variance', 'f1_score_binary', 'f1_score_macro', 'f1_score_micro', 'f1_score_weighted', 'forecast_adjustment_residuals', 'forecast_mean_absolute_percentage_error', 'forecast_residuals', 'forecast_table', 'log_loss', 'matthews_correlation', 'mean_absolute_error', 'mean_absolute_percentage_error', 'mean_average_precision', 'median_absolute_error', 'norm_macro_recall', 'normalized_mean_absolute_error', 'normalized_median_absolute_error', 'normalized_root_mean_squared_error', 'normalized_root_mean_squared_log_error', 'precision_score_binary', 'precision_score_macro', 'precision_score_micro', 'precision_score_weighted', 'predicted_true', 'r2_score', 'recall_score_binary', 'recall_score_macro', 'recall_score_micro', 'recall_score_weighted', 'residuals', 'root_mean_squared_error', 'root_mean_squared_log_error', 'spearman_correlation', 'weighted_accuracy'}

ForecastAdjustmentResiduals 

ForecastAdjustmentResiduals = 'forecast_adjustment_residuals'

ForecastMAPE 

ForecastMAPE = 'forecast_mean_absolute_percentage_error'

ForecastResiduals 

ForecastResiduals = 'forecast_residuals'

ForecastSMAPE 

ForecastSMAPE = 'forecast_symmetric_mean_absolute_percentage_error'

ForecastTable 

ForecastTable = 'forecast_table'

IMAGE_CLASSIFICATION_MULTILABEL_PRIMARY_SET 

IMAGE_CLASSIFICATION_MULTILABEL_PRIMARY_SET = {'iou'}

IMAGE_CLASSIFICATION_PRIMARY_SET 

IMAGE_CLASSIFICATION_PRIMARY_SET = {'accuracy'}

IMAGE_OBJECT_DETECTION_PRIMARY_SET 

IMAGE_OBJECT_DETECTION_PRIMARY_SET = {'mean_average_precision'}

IMAGE_OBJECT_DETECTION_SET 

IMAGE_OBJECT_DETECTION_SET = {'mean_average_precision'}

IOU 

IOU = 'iou'

LogLoss 

LogLoss = 'log_loss'

MAPE 

MAPE = 'mean_absolute_percentage_error'

MatthewsCorrelation 

MatthewsCorrelation = 'matthews_correlation'

MeanAbsError 

MeanAbsError = 'mean_absolute_error'

MeanAveragePrecision 

MeanAveragePrecision = 'mean_average_precision'

MedianAbsError 

MedianAbsError = 'median_absolute_error'

NONSCALAR_CLASSIFICATION_SET 

NONSCALAR_CLASSIFICATION_SET = {'accuracy_table', 'confusion_matrix'}

NONSCALAR_FORECAST_SET 

NONSCALAR_FORECAST_SET = {'forecast_adjustment_residuals', 'forecast_mean_absolute_percentage_error', 'forecast_residuals', 'forecast_table'}

NONSCALAR_FULL_SET 

NONSCALAR_FULL_SET = {'accuracy_table', 'confusion_matrix', 'forecast_adjustment_residuals', 'forecast_mean_absolute_percentage_error', 'forecast_residuals', 'forecast_table', 'predicted_true', 'residuals'}

NONSCALAR_REGRESSION_SET 

NONSCALAR_REGRESSION_SET = {'predicted_true', 'residuals'}

NormMacroRecall 

NormMacroRecall = 'norm_macro_recall'

NormMeanAbsError 

NormMeanAbsError = 'normalized_mean_absolute_error'

NormMedianAbsError 

NormMedianAbsError = 'normalized_median_absolute_error'

NormRMSE 

NormRMSE = 'normalized_root_mean_squared_error'

NormRMSLE 

NormRMSLE = 'normalized_root_mean_squared_log_error'

PrecisionBinary 

PrecisionBinary = 'precision_score_binary'

PrecisionMacro 

PrecisionMacro = 'precision_score_macro'

PrecisionMicro 

PrecisionMicro = 'precision_score_micro'

PrecisionWeighted 

PrecisionWeighted = 'precision_score_weighted'

PredictedTrue 

PredictedTrue = 'predicted_true'

R2Score 

R2Score = 'r2_score'

REGRESSION_PRIMARY_SET 

REGRESSION_PRIMARY_SET = {'normalized_mean_absolute_error', 'normalized_root_mean_squared_error', 'r2_score', 'spearman_correlation'}

REGRESSION_SET 

REGRESSION_SET = {'explained_variance', 'mean_absolute_error', 'mean_absolute_percentage_error', 'median_absolute_error', 'normalized_mean_absolute_error', 'normalized_median_absolute_error', 'normalized_root_mean_squared_error', 'normalized_root_mean_squared_log_error', 'predicted_true', 'r2_score', 'residuals', 'root_mean_squared_error', 'root_mean_squared_log_error', 'spearman_correlation'}

RMSE 

RMSE = 'root_mean_squared_error'

RMSLE 

RMSLE = 'root_mean_squared_log_error'

RecallBinary 

RecallBinary = 'recall_score_binary'

RecallMacro 

RecallMacro = 'recall_score_macro'

RecallMicro 

RecallMicro = 'recall_score_micro'

RecallWeighted 

RecallWeighted = 'recall_score_weighted'

Residuals 

Residuals = 'residuals'

SAMPLE_WEIGHTS_UNSUPPORTED_SET 

SAMPLE_WEIGHTS_UNSUPPORTED_SET = {'median_absolute_error', 'normalized_median_absolute_error', 'spearman_correlation', 'weighted_accuracy'}

SCALAR_CLASSIFICATION_SET 

SCALAR_CLASSIFICATION_SET = {'AUC_binary', 'AUC_macro', 'AUC_micro', 'AUC_weighted', 'accuracy', 'average_precision_score_binary', 'average_precision_score_macro', 'average_precision_score_micro', 'average_precision_score_weighted', 'balanced_accuracy', 'f1_score_binary', 'f1_score_macro', 'f1_score_micro', 'f1_score_weighted', 'log_loss', 'matthews_correlation', 'norm_macro_recall', 'precision_score_binary', 'precision_score_macro', 'precision_score_micro', 'precision_score_weighted', 'recall_score_binary', 'recall_score_macro', 'recall_score_micro', 'recall_score_weighted', 'weighted_accuracy'}

SCALAR_FULL_SET 

SCALAR_FULL_SET = {'AUC_binary', 'AUC_macro', 'AUC_micro', 'AUC_weighted', 'accuracy', 'average_precision_score_binary', 'average_precision_score_macro', 'average_precision_score_micro', 'average_precision_score_weighted', 'balanced_accuracy', 'explained_variance', 'f1_score_binary', 'f1_score_macro', 'f1_score_micro', 'f1_score_weighted', 'log_loss', 'matthews_correlation', 'mean_absolute_error', 'mean_absolute_percentage_error', 'median_absolute_error', 'norm_macro_recall', 'normalized_mean_absolute_error', 'normalized_median_absolute_error', 'normalized_root_mean_squared_error', 'normalized_root_mean_squared_log_error', 'precision_score_binary', 'precision_score_macro', 'precision_score_micro', 'precision_score_weighted', 'r2_score', 'recall_score_binary', 'recall_score_macro', 'recall_score_micro', 'recall_score_weighted', 'root_mean_squared_error', 'root_mean_squared_log_error', 'spearman_correlation', 'weighted_accuracy'}

SCALAR_FULL_SET_TIME 

SCALAR_FULL_SET_TIME = {'AUC_binary', 'AUC_macro', 'AUC_micro', 'AUC_weighted', 'accuracy', 'average_precision_score_binary', 'average_precision_score_macro', 'average_precision_score_micro', 'average_precision_score_weighted', 'balanced_accuracy', 'explained_variance', 'f1_score_binary', 'f1_score_macro', 'f1_score_micro', 'f1_score_weighted', 'fit_time', 'log_loss', 'matthews_correlation', 'mean_absolute_error', 'mean_absolute_percentage_error', 'median_absolute_error', 'norm_macro_recall', 'normalized_mean_absolute_error', 'normalized_median_absolute_error', 'normalized_root_mean_squared_error', 'normalized_root_mean_squared_log_error', 'precision_score_binary', 'precision_score_macro', 'precision_score_micro', 'precision_score_weighted', 'predict_time', 'r2_score', 'recall_score_binary', 'recall_score_macro', 'recall_score_micro', 'recall_score_weighted', 'root_mean_squared_error', 'root_mean_squared_log_error', 'spearman_correlation', 'train time', 'weighted_accuracy'}

SCALAR_REGRESSION_SET 

SCALAR_REGRESSION_SET = {'explained_variance', 'mean_absolute_error', 'mean_absolute_percentage_error', 'median_absolute_error', 'normalized_mean_absolute_error', 'normalized_median_absolute_error', 'normalized_root_mean_squared_error', 'normalized_root_mean_squared_log_error', 'r2_score', 'root_mean_squared_error', 'root_mean_squared_log_error', 'spearman_correlation'}

SCHEMA_TYPE_ACCURACY_TABLE 

SCHEMA_TYPE_ACCURACY_TABLE = 'accuracy_table'

SCHEMA_TYPE_CONFUSION_MATRIX 

SCHEMA_TYPE_CONFUSION_MATRIX = 'confusion_matrix'

SCHEMA_TYPE_MAPE 

SCHEMA_TYPE_MAPE = 'mape_table'

SCHEMA_TYPE_PREDICTIONS 

SCHEMA_TYPE_PREDICTIONS = 'predictions'

SCHEMA_TYPE_RESIDUALS 

SCHEMA_TYPE_RESIDUALS = 'residuals'

SCHEMA_TYPE_SMAPE 

SCHEMA_TYPE_SMAPE = 'smape_table'

SMAPE 

SMAPE = 'symmetric_mean_absolute_percentage_error'

Spearman 

Spearman = 'spearman_correlation'

TEXT_CLASSIFICATION_MULTILABEL_PRIMARY_SET 

TEXT_CLASSIFICATION_MULTILABEL_PRIMARY_SET = {'accuracy'}

TEXT_CLASSIFICATION_PRIMARY_SET 

TEXT_CLASSIFICATION_PRIMARY_SET = {'AUC_weighted', 'accuracy', 'precision_score_weighted'}

TEXT_NER_PRIMARY_SET 

TEXT_NER_PRIMARY_SET = {'accuracy'}

WeightedAccuracy 

WeightedAccuracy = 'weighted_accuracy'