LostTech.TensorFlow : API Documentation
Types in tensorflow.keras.metrics
Accuracy
AUC
BinaryAccuracy
BinaryCrossentropy
CategoricalAccuracy
CategoricalCrossentropy
CategoricalHinge
CosineSimilarity
FalseNegatives
FalsePositives
Hinge
IAccuracy
IAUC
IBinaryAccuracy
IBinaryCrossentropy
ICategoricalAccuracy
ICategoricalCrossentropy
ICategoricalHinge
ICosineSimilarity
IFalseNegatives
IFalsePositives
IHinge
IKLDivergence
ILogCoshError
IMean
IMeanAbsoluteError
IMeanAbsolutePercentageError
IMeanIoU
IMeanRelativeError
IMeanSquaredError
IMeanSquaredLogarithmicError
IMeanTensor
IMetric
IPoisson
IPrecision
IRecall
IRootMeanSquaredError
ISensitivityAtSpecificity
ISparseCategoricalAccuracy
ISparseCategoricalCrossentropy
ISparseTopKCategoricalAccuracy
ISpecificityAtSensitivity
ISquaredHinge
ISum
ITopKCategoricalAccuracy
ITrueNegatives
ITruePositives
KLDivergence
LogCoshError
Mean
MeanAbsoluteError
MeanAbsolutePercentageError
MeanIoU
MeanRelativeError
MeanSquaredError
MeanSquaredLogarithmicError
MeanTensor
Metric
Poisson
Precision
Recall
RootMeanSquaredError
SensitivityAtSpecificity
SparseCategoricalAccuracy
SparseCategoricalCrossentropy
SparseTopKCategoricalAccuracy
SpecificityAtSensitivity
SquaredHinge
Sum
TopKCategoricalAccuracy
TrueNegatives
TruePositives
Type
IFalsePositives
Namespace
tensorflow.keras.metrics
Interfaces
I_ConfusionMatrixConditionCount