Comments (1)
Is there any solution or workaround for this warning?
from mlmetrics.
Related Issues (11)
- typo ''Possion" instead of "Poisson" HOT 2
- Inconsistencies and errors with `Precision()`
- F1 score output HOT 1
- R2_Score() is inconsistent with other methods HOT 1
- Support for multi-class classification metrics such as micro/macro f1-score, precision and recall
- The defaults of the "positive" argument
- Inconsistent order of y_true and y_pred arguments
- MAPE without multiply 100%
- Wrong logloss if `y_pred` is not a matrix and does not contain all the possible classes
- error when all predicted values are 1 for F1_Score function
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from mlmetrics.