Expand description
Scikit-learn compatibility module
This module provides implementations of metrics that are equivalent to those found in scikit-learn, ensuring API compatibility and identical results where possible.
Structs§
- Classification
Metrics - Classification
Report - Equivalent to sklearn.metrics.classification_report
- Classification
Results - Classification results returned by compute method
Functions§
- accuracy_
score_ sklearn - Equivalent to sklearn.metrics.accuracy_score
- classification_
report_ sklearn - Equivalent to sklearn.metrics.classification_report
- cohen_
kappa_ score_ sklearn - Equivalent to sklearn.metrics.cohen_kappa_score
- hinge_
loss_ sklearn - Equivalent to sklearn.metrics.hinge_loss
- multilabel_
confusion_ matrix_ sklearn - Equivalent to sklearn.metrics.multilabel_confusion_matrix
- precision_
recall_ fscore_ support_ sklearn - Equivalent to sklearn.metrics.precision_recall_fscore_support
- zero_
one_ loss_ sklearn - Equivalent to sklearn.metrics.zero_one_loss