utils.types.Metrics
Use Case | SDK Metric | Metric |
---|---|---|
Regression | Metrics.REGRESSION | MAPE, MAE, RMSE, MSE, R-Squared, Mean Error |
Classification | Metrics.CLASSIFICATION | Accuracy, Recall, Precision, FPR, FNR, F1, Sensitivity, Specificity |
Ranking | Metrics.RANKING | NDCG |
AUC & LogLoss | Metrics.AUC_LOG_LOSS | AUC, PR-AUC, Log Loss |
Ranking Label | Metrics.RANKING_LABEL | GroupAUC, MAP, MRR |
repr()
To view applicable metrics, pass in your desired SDK Metric from above.
repr(Metrics.[SDK Metric])
response = arize_client.log(
model_id='sample-binary-classification-model',
...
metrics_validation=[Metrics.CLASSIFICATION]
)
response = arize_client.log(
model_id='sample-regression-model',
...
metrics_validation=[Metrics.REGRESSION]
)
response = arize_client.log(
model_id='sample-ranking-model',
...
metrics_validation=[Metrics.RANKING, Metrics.RANKING_LABEL]
)
Last modified 6mo ago